Look-up table based gamma and inverse gamma correction for high-resolution frame buffers

Abstract

An image display system includes an input to a source (10, 12, 14) of image pixel data wherein each pixel is expressed as an M-bit value within a non-linear range of values. A first LUT (16) is coupled to an output of the source for converting each M-bit pixel value to an N-bit value within a linear range of values. An image memory, or frame buffer (18), has an input coupled to an output of the first LUT for storing the N-bit pixel values. The system further includes a second LUT (20) coupled to an output of the frame buffer for converting N-bit pixel values output by the frame buffer to P-bit pixel values within a non-linear range of values. The converted values are subsequently applied to a display (24). In an exemplary embodiment, the first LUT stores gamma corrected pixel values and the second LUT stores inverse gamma corrected pixel values. Preferably the second LUT stores a plurality of sets of inverse gamma corrected pixel values. Also, the frame buffer stores, for each of the N-bit pixel values, a value that specifies a particular one of the plurality of sets of inverse gamma corrected pixel values for use in converting an associated one of the N-bit pixel values.

Description

CROSS REFERENCE TO RELATED PATENT APPLICATION

This patent application is related to the following commonly assigned U.S. patent application: Ser. No. 07/733,950, filed Jul. 22, 1991, entitled "High Definition Multimedia Display" S. Choi et al.

1. Field of the Invention

This invention relates generally to image display apparatus and method and, in particular, to apparatus and method for applying a non-linear transform to a displayed image.

2. Background of the Invention

The light output of a phosphor from a cathode-ray tube (CRT), also referred to herein as a monitor, exhibits a power-law relationship to a video signal voltage applied to the CRT's cathode. To compensate for this non-linear behavior, the video signal is predistorted with a power-law function which is the inverse of that performed by the CRT. The resultant signal modulates the CRT cathode such that a linear transition of the light levels in the scene or image produce a linear transition in the light output of the CRT phosphors.

CRT light output (luminance) is defined by the power law function L=E.sup.y, where E is video signal voltage and y is the power function exponent, referred to as gamma. Gamma is typically in the range of 2 to 3 for most CRT displays. To produce linear transitions in CRT light output, E is transformed to E, by the relation E'=E.sup.1/y. This mathematical process is known as an inverse gamma function or, more commonly, as gamma correction. Image data which has been gamma corrected can, in turn, be linearized by applying the gamma function E=E'.sup.y to the data. This process is known as inverse gamma correction.

FIGS. 1a-1d illustrate the function of gamma correction during image reproduction. In these Figures a human observer is replaced with a photometer so as to quantify the light output of the monitor. In computer graphics systems, wherein an image is synthesized by the computer, the computer/renderer/database behavior, which generates the image, is functionally identical to the camera in the image reproducer chain. Inverse gamma correction therefore applies the monitor's function to a gamma-corrected input signal, yielding a linearized output.

In digital video systems, gamma correction may be performed on an image using two distinct techniques. A first technique performs gamma correction on each picture element (pixel) as it is generated by the imaging system. Subsequently, these gamma corrected pixels are stored in an image memory, referred to as a frame buffer. Gamma corrected pixels are then read from the frame buffer and presented to a digital-to-analog converter (DAC) for conversion to an analog signal to drive the CRT. However, in that gamma correction is a nonlinear operation, two undesirable effects result.

First, any additional operations performed on these pixels, for example linear mixing of two images, must consider the mathematical impact of the gamma corrected values upon the resultant value, since .alpha.A+(1-.alpha.) B.noteq.[.alpha.A'+(1-.alpha.) B'].sup.v (where A and B are the linear pixel values, A' and B' are the gamma corrected pixel values, and .alpha. is the mixing ratio). Hence, a mixing operation must first inverse gamma correct the two pixels before mixing, and then gamma correct the result before storage. This is obviously a time consuming process and may be impractical for large numbers of pixels.

Second, as will be illustrated below, a gamma corrected integer pixel requires more bits than a linear integer pixel in order to uniquely define an identical set of intensity values. This in turn requires a larger frame buffer and long-word arithmetic capability.

A second technique stores and performs mathematical operations upon linear pixel values, and then performs gamma correction just prior to converting the pixels to an analog voltage by means of a look-up table (LUT) operation. The linear pixel values read from the frame buffer are used as an index to a memory (LUT) whose contents have been precalculated to satisfy the above mentioned gamma correction equation. It is the LUT's contents which are then applied to the DAC.

Performing gamma correction on integers with y>1 requires that the output set of integers contain more numbers than the input set, in order to maintain unique numbers. This can be observed when performing gamma correction on 8-bit integers (a common pixel size for digital video samples) for y=2.0. The transformed 8-bit output integers exhibit 64 duplicates, for a loss of 25% of the input set values. Referring to Table 1 in Appendix A it can be seen that increasing y to only 2.2 yields 72 duplicates for a loss of over 28%. Clearly, losses of these magnitudes are unacceptable in a high quality digital video system.

The use of a look-up memory or look-up table (LUT) to provide gamma correction has been previously employed as indicated by the following U.S. Patents.

In U.S. Pat. No. 4,805,013, issued Feb. 14, 1989, entitled "Image Data Conversion System" to Dei et al. there is disclosed the use of a RAM for storing a gamma conversion table. A CPU is enabled to load gamma conversion data that corresponds to a gamma conversion curve calculated by the CPU into the RAM.

In U.S. Pat. No. 4,394,688, issued Jul. 19, 1983, entitled "Video System Having an Adjustable Digital Gamma Correction for Contrast Enhancement" to Iida et al. there is disclosed a video system that includes a RAM in which video data is altered in accordance with the contents of a table look-up that is temporarily written therein. A ROM device stores a plurality of different table look-ups, each containing data representing a different gamma correction. A CPU obtains a table look-up from the ROM and writes same into the RAM. This technique enables the selection of only a single table look-up, and therefore a single gamma correction per image.

In U.S. Pat. No. 4,688,095, issued Aug. 18, 1987, entitled "Programmable Image-Transformation System" to Beg et al. there is described an image processing system having a multiplexor that supplies address signals to a look-up table whose resulting output is applied as data to a frame buffer. By changing selection signals applied to the multiplexor, it is said to be possible to use this system alternately for transformations dependent only on newly generated data, transformations dependent only on stored data, and transformations dependent on both. The look-up table may store different correction functions for each of 16 different combinations of camera and display device. The look-up table address is formed from a combination of possible sources including an output of an eight bit A/D and the output of a four bit register. In operation, a computer loads the look-up table and, if necessary, loads a value into the register to designate a portion of the look-up table to be used. The disclosure of Beg et al. permits gamma correction to be performed only on incoming video data from the A/D and, if the A/D data is linearized, it is not re-gamma corrected before DAC processing and display. As a consequence, if non-linearized data were to be placed in the frame buffer of Beg, any operation performed upon this data must compensate for the non-linear data. Furthermore, Beg et al. sample a gamma corrected signal with eight-bit accuracy and effectively do not use at least 2-bits/pixel in the frame buffer when linearizing a gamma corrected pixel.

In U.S. Pat. No. 4,568,978, issued Feb. 4, 1986, entitled "Method of a Circuit Arrangement for Producing a Gamma Corrected Video Signal" to Cosh there is disclosed a method for correcting a video signal by a gamma correction factor. A gamma correction circuit forms a logarithm of an input signal and a logarithm of a correction factor. The two logarithmic signals are summed and an anti-logarithm of the exponential of the summed signal is taken. PROMs are employed for storing conversions. Cosh notes that for each input code to translate to a unique output code the output code must have four times the resolution of the input code. For example, if the input is defined by 10 bits the output should have 12 bits.

What is not taught by these U.S. Patents, and what is thus one object of the invention to provide, is a method for determining an optimum number of bits required for a gamma correction look-up table output so as to achieve unique values for a specified number of input bits and for a selected range of gamma values.

It is a further object of the invention to provide an image generation system that includes an image buffer that receives and stores linear, gamma corrected digital data and that outputs the linear data to an inverse gamma corrector.

It is another object of the invention to provide a pixel-by-pixel selection of a function to be applied to each pixel so as to enable a gamma windowing function to be implemented, wherein a foreground gamma correction is applied to a window in a display, the foreground gamma correction being different than a background gamma correction.

It is another object of the invention to provide a dynamically programmable LUT memory in combination with a frame buffer having one or more (N-bit+W-bit) planes, where N-bits represent linear information, such as color, and wherein W-bits represent a display window identifier.

SUMMARY OF THE INVENTION

The foregoing and other problems are overcome and the objects of the invention are realized by a digital video system architecture and method which provides a powerful and flexible means of performing non-linear transformations upon digital image data. The invention employs read/write look-up table memories to perform arbitrary non-linear operations upon image data, either over an entire image or within user-defined windows into the image. The teaching of the invention is particularly useful for performing gamma and inverse gamma correction to image data, but may also be applied to provide enhancement and restoration capabilities for image analysis. The teaching of the invention may further be applied so as to modify an image to obtain a desired aesthetic effect.

The invention provides method and apparatus for performing gamma correction upon digital video values on a per pixel basis with minimal or no loss of information during the transform process. The invention pertains to both the transformation of linear intensity values to gamma corrected values and to the transformation of gamma corrected intensity values to linear values.

In that gamma correction and inverse gamma correction are specific cases of a more general class of non-linear transforms of image intensity, the teaching of the invention may employed so as to alter the transfer characteristic of the video display generally. Thus, analytic or aesthetic enhancements of the image may be accomplished.

In accordance with the invention, an image processing system includes an input to a source of image pixel data wherein each pixel has an M-bit value within a non-linear range of values. A first LUT is coupled to an output of the source and converts each M-bit pixel value to an N-bit value within a linear range of values. An image memory, or frame buffer, has an input coupled to an output of the first LUT and stores the linear N-bit pixel values. The system further includes a second LUT coupled to an output of the frame buffer for converting N-bit pixel values output by the frame buffer to P-bit pixel values within a non-linear range of values. The converted values are subsequently applied to a display.

In an exemplary embodiment, the first LUT stores gamma corrected pixel values and the second LUT stores inverse gamma corrected pixel values.

Preferably the second LUT stores a plurality of sets of inverse gamma corrected pixel values. Also, the frame buffer further stores, for each of the N-bit pixel values, a value that specifies a particular one of the plurality of sets of inverse gamma corrected pixel values for use in converting an associated one of said N-bit pixel values.

BRIEF DESCRIPTION OF THE DRAWING

The above set forth and other features of the invention are made more apparent in the ensuing Detailed Description of the Invention when read in conjunction with the attached Drawing, wherein:

FIGS. 1a-1d illustrate the process of gamma correction and inverse gamma correction, wherein FIG. 1a shows a linear output of a camera, FIG. 1b illustrates a gamma correction that is applied to the camera output, FIG. 1c shows the inverse gamma correction applied at a display (monitor), and FIG. 1d shows the output of a photometer that is a linear function due to the gamma correction applied to the camera output;

FIG. 2 illustrates a simplified look-up table based inverse gamma correction/gamma correction block diagram for a digital video system;

FIG. 3 illustrates a window-based graphic system that employs a LUT-based inverse gamma correction technique to mix images from cameras with different gamma corrections;

FIG. 4 illustrates the simultaneous the use of different gamma functions to obtain contrast expansion;

FIG. 5 shows a frame buffer memory constructed so as to have a plurality of input gamma correctors and a plurality of output gamma correctors;

FIG. 6 illustrates in greater detail the input inverse gamma correctors shown in FIG. 5; and

FIG. 7 illustrates in greater detail the output gamma correctors shown in FIG. 5.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 2 illustrates a simplified block diagram of a look-up table based inverse gamma correction/gamma correction technique for use in a digital video system. Signal inputs from the camera 10 and outputs to monitor 24 are presumed to be analog. The inputs and outputs of the constituent blocks are indicated to be analog or digital and linear or non-linear by the attendant pictographs. The gamma correction block 12 following the camera 10 is an analog function typically built into the camera 10. Following the gamma correction block 12, that is, the output of the camera 10, is an analog-to-digital converter (ADC) 14 that provides M digital outputs to the address inputs of a first LUT, specifically an inverse gamma correction (IGC) LUT 16. The output of LUT 16 is N-bits that are applied to an input of a frame buffer (FB) 18. The output of FB 18 is N-bits that are applied to the address inputs of a second LUT, specifically a gamma correction (GC) LUT 20. The output of GC LUT 20 is P-bits (P.gtoreq.N) of digital gamma corrected video data that is applied to an input of a DAC 22. The output of DAC 22, for a color system, is three analog signals. These three analog signals are a red (R) analog signal, a blue (B) analog signal, and a green (G) analog signal. Analog signals are applied to monitor 24, resulting in the display of a gamma corrected image.

For a high quality camera 10 the operation of the gamma correction block 12 may be disabled. Thus, the outputs to the ADC 14 are linear and the gamma correction action of the IGC LUT 16 is suppressed. Also, for image data generated by a source other than a camera, such as by a digital computer, linear video data may be applied directly to the FB 18. In any case, the approach of the system is to preserve linear color representation in the FB 18.

FIG. 3 illustrates a window based graphics system that employs the LUT-based inverse gamma correction technique if FIG. 2 to mix images from sources, such as cameras, having different gamma corrections. By applying the appropriate inverse gamma correction to each camera source, in real time, all images are linearized in the FB 18 and are therefore displayed on a common monitor 14 without losing intensity values in any of the windows.

While the LUT gamma correction technique described thus far provides a fast and inexpensive means of performing non-linear transforms upon pixel values, two enhancements may be made. Specifically, in that the pixel values which serve as the addresses into the LUTs and the data read from the LUTs are integers, loss of information, and therefore errors, may be produced by gamma correction if insufficient attention is given to the range of values which are required to uniquely represent all of the input set of values in the output set of values.

Secondly, since the LUT based gamma correction technique of the invention does not affect the pixel values stored in the FB 18, a separate means is provided to provide a pixel-accurate gamma window function. In this case a user, on a pixel-by-pixel basis, selects which one of a plurality of precalculated gamma functions are to be applied to specific areas (windows) on the display. By example, FIG. 4 shows the simultaneous the use of different gamma functions to obtain contrast expansion, and illustrates a technique whereby a user expands low contrast areas, or alternately compresses high contrast areas, within a window in order to observe image detail which may otherwise be unintelligible.

In accordance with an aspect of the invention, a method for determining a minimum number of bits required for the LUT output, to achieve unique values for a specified number of input bits and for a selected range of gamma values, is now presented. More specifically, this method determines a scaling coefficient S which, when used with the identity relation E=[S(e)1/y/S].sup.y, provides recovery of all integer values of E. Since this relation is the mathematical equivalent of the inverse gamma function (gamma correction) performed by the digital imaging system and the gamma function performed by the monitor 24, the coefficient S determines the number of bits of any intermediate integers used in the transform and inverse transform process.

For a case where the camera gamma is not equal to the monitor gamma, P.noteq.M, and the scale factor S is found to satisfy the following relations:

O=INT[P-1)(I/N-1).sup.1/y +0.5] and I=INT[(N-1)(O/P-1)y+0.5], where N=number of linear input levels, P=number of gamma corrected output levels, (I/N-1) and (O/P-1) are normalized input and output values, respectively, S=P-1, and INT is a truncating integer function. The above mentioned identity equation is obtained by substituting the equation for O into that for I. Therefore, for N=log.sub.2n number of input bits, P=(N+1) for y>1. The value of P is increased until the identity is satisfied, i.e. no duplicates are generated. The tables shown in Appendices A and B, respectively, illustrate the effect of increasing P from 8 to 10 bits for y=2.2. Appendix A shows the large number of duplicate values produced for P=8-bits, while Appendix B shows that with P=10-bits that no duplicate values are generated. As a result, there is no loss of intensity information over the range of input bits. It can be empirically determined that for N=8, P=10 satisfies the identity relation for 1.ltoreq..gamma.Y.ltoreq.4.2.

Performing inverse gamma correction, i.e. linearizing intensity which was previously gamma corrected, requires a smaller output data set then the input data set. By example, this may be required after sampling a video camera which has a gamma corrected analog output, as is frequently the case. The IGC LUT memory 16 operating at a sample clock frequency instantaneously performs the transform. From the above example, a 10-bit (M) camera sample is used as the index to the IGC LUT 16 which generates an 8-bit (N) linear output value for 1.ltoreq..gamma..ltoreq.4.2. This is an efficient process since the resultant 8-bit transformed sample may then be directly mixed with other 8-bit linear values so as to form composite video images in real time.

The block diagram of FIG. 5 shows in greater detail data paths using the integers I and O. When digitizing a gamma corrected analog input, as from a camera, care should be taken when mapping the larger data set O to the smaller data set I. A median value method may be employed to select which intermediate numbers in the O set are assigned to those in the I set. The use of a median value may be illustrated by an example taken from Table 2 of Appendix B. The analog input is digitized with 10-bit accuracy. Any number from 0 to 1023 may be obtained at the output of the ADC 14, such as the values 264, 265, 266, etc. In order to determine the corresponding number at the output (O) of the LUT 16 for such intermediate inputs (I) a median value is determined. For example, the median value of 264 and 274 is 268, and the median value of 255 and 264 is 260. Thus, to all ADC 14 generate inputs between, by example, 260 and 268 only one output number (13) is assigned.

In FIG. 5 the FB 18 has a plurality of N+W-bit planes, where N-bits represents linear color information and where W-bits represents a window identification number (WID). All bit planes of FB 18 are accessible by a host (not shown). The gamma compensated input source is sampled with the ADC 14, which has M bits per pixel output. The input data is converted to linear data with Inverse Gamma Correction LUT 16 which outputs N bits per pixel. On the video output, for each pixel there are N+W bits. The N bit linear color data is gamma corrected with one of 2.sup.W gamma correction tables stored within the Gamma Correction Block LUT 20, based on WID, which outputs P bits per pixel. These P bits are in turn loaded into the DAC 22 to be displayed on the monitor 24. This technique supports simultaneous multiple gamma corrections based on the WID associated with each pixel stored in the FB 16. Thus, there may be as many as 2.sup.W different gamma corrected windows present within the system video output, as shown in FIG. 3 for the case of three gamma corrected windows (W1, W2, W3).

Input Device

The following is the description of the input inverse gamma correction logic as shown in FIG. 6. The gamma corrected analog input signal, such as a signal from the video camera 10, is sampled and converted to M-bit digital data by the ADC 14. The linearization of the sampled gamma corrected data is performed by the IGC LUTs 16 which convert M-bits into N-bits. The value of M is determined, as described above, by the maximum value of input device gamma y. As indicated above, M=10 for N=8 for reasonable values of y.

It may be desirable to write the sampled data into the FB 16 in parallel. For example, if Video RAM (VRAM) chips utilized to implement the FB 16 have a random port bandwidth of 16.6 Mhz (60 nS cycle time), then in order to store a HDTV camera signal sampled at 74.25 Mhz, the memory must be interleaved at least 5 (j=5) ways to provide sufficient bandwidth to store the sampled data. The transformation may be accomplished immediately after the ADC 14, before parallelization, by employing a fast LUT 16 which matches the period of a sample clock (SAMPLE.sub.-- CLOCK). Alternately, the transformation may be done after parallelization, by using a slower LUT 16 which matches the FB 18 cycle period. The second method is illustrated in FIG. 6 and is preferred over the first, since slower LUT 16 memory is more readily available and operates independently of the high speed sample clock.

The circuitry of FIG. 6 functions in the following manner. The analog input signal is sampled and clocked at the ADC 14 every sample clock period (SAMPLE.sub.-- CLOCK). The output of the ADC 14 is loaded into registers REG.sub.-- 1 through REG.sub.-- J in a round robin fashion via signals LD.sub.-- 1 through LD.sub.-- j, respectively. Thus, the first sampled data is loaded into REG.sub.-- 1 with the LD.sub.-- 1-strobe, the second sampled data is loaded into REG.sub.-- 2 with LD.sub.-- 2-strobe, and so on, until the last round robin LD.sub.-- j strobe is generated. On the following SAMPLE.sub.-- CLOCK period, a new robin cycle is initiated by again strobing LD.sub.-- 1. Simultaneously, the data already stored within REG.sub.-- 1 through REG.sub.-- j is parallel loaded into REG.sub.-- j+1 through REG.sub.-- 2j. Thus, the LD.sub.-- 1 strobe controls the loading of REG.sub.-- 1 and all of the registers REG.sub.-- j+1 through REG.sub.-- 2j.

The data stored in REG.sub.-- j+1 through REG.sub.-- 2j are used as address inputs to a set of IGC LUTs 16, which in turn provide N bit linear data to the FB 18. The contents of LUTs 16 are updated from the local host via host computer address bus (WS.sub.-- ADDR); host computer data bus (WS.sub.-- DATA); and control signals IGC LUT Enable (WS.sub.-- EN.sub.-- IGC--) and IGC LUT write strobe (WS.sub.-- WRT.sub.-- IGC--). Normally, both WS.sub.-- EN.sub.-- IGC-- and WS.sub.-- WRT.sub.-- IGC-- are deasserted. When deasserted, WS.sub.-- WRT.sub.-- IGC-- selects multiplexors (MUX.sub.-- 1 through MUX.sub.-- j) outputs to be sourced from registers REG.sub.-- j+1 through REG.sub.-- 2j, thereby providing the sampled data from the ADC 14. This signal also forces local host data buffers (BUF.sub.-- 1 through BUF.sub.-- j) into a high impedance mode, and enables the output of LUTs 16, thus enabling the linearized color data to be available to FB 18. During an IGC LUT 16 update cycle by the local host, the local host first asserts the WS.sub.-- EN.sub.-- IGC-- signal, which causes MUX.sub.-- 1 through MUX.sub.-- j to select the WS.sub.-- ADDR as address inputs to the LUTs 16, and disables the LUTs 16 outputs. The BUF outputs are enabled such that WS.sub.-- DATA is used as the input to the LUTs 16 data ports. Subsequently, the local host strobes WS.sub.-- WRT.sub.-- IGC-- which loads the WS DATA into the LUTs 16 at the address specified by WS.sub.-- ADDR.

Video Output Device

The following is the description of the video output device shown in FIG. 7. It may be required that the serial output port of the FB 18 be parallelized to achieve a desired video bandwidth. For example, a 60 Hz 1280.times.1024 resolution display requires a bandwidth of 110 MHz. Since a typical VRAM has serial output bandwidth of less than 40 MHz, the FB 18 serial output must be interleaved at least four ways. The interleaved serial outputs of the FB 18 are then loaded into the serializer 26 which is capable of being shifted at the video clock rate.

There are two methods to implement gamma correction using the GC LUT memories 20. The transformation may be done after serialization, just before the DAC 22, by using high speed LUTs 20 that match the video clock period. Alternately, gamma correction can be accomplished before serialization by employing slower LUT memories 20 that match the VRAM serial output cycle period. The second method is preferred over the first method in that slower LUT memory is more readily available and operates independently of the video clock period. FIG. 7 illustrates this second, preferred approach.

N-bits of linear color value is gamma corrected by the GC LUTs 20. The result is P-bits of gamma corrected data which is input to the DAC 22, via serializer 26. DAC 22 thus has a P-bit wide input.

As was discussed previously, the actual value of P is a function of the required gamma value for video output correction. For the case where the monitor gamma and camera gamma are relatively close, then P may equal M. For some cases the output correction may require more bits or the same number of bits as the input correction. For example, if the gamma of the monitor is equal to 1, then P may equal N. As was previously stated, a general rule is that P.gtoreq.N.

For certain special effects, different gamma corrections may be applied based on the value of WID, as illustrated in FIGS. 3 and 4. This is accomplished by FB 18 containing the plurality of N+W-bit planes, where N-bits represent linear color data and W-bits the WID. Therefore, each pixel is represented, in each FB 18 memory plane, by N+W-bits of data. N-bit video data from the FB 18 is concatenated with the W-bit WID. As an example, if WID is represented by three bits then 2.sup.3, or eight, different gamma corrections can be simultaneously in effect for a given display screen frame. This corresponds to eight distinct windows.

It is noted that different gamma corrected pixel regions can be overlapped because, after gamma correction, all images are linearized. For example, in FIG. 3 it is assumed that window 3 was sampled last and also incidentally overlaps window 2.

The images are not overlayed, but a portion of the overlap window is rewritten during sampling or rewritten by the local host. If mixing of two images is required the mixing does not occur in real time. By example, sampling is disabled in window 2 and a portion of the window 2 which may be overlapped is stored by the local host. Sampling is again enabled and window 3 is sampled. Sampling is then disabled and the local host then mixes the image pixels from each of the overlapped regions.

During normal operation, both a local host enable gamma correction signal (WS.sub.-- EN.sub.-- GC--) and a local host write gamma correction (WS.sub.-- WRT.sub.-- GC--) signal are deasserted. As such, WS.sub.-- EN.sub.-- GC-- forces multiplexors (MUX.sub.-- 1 through MUX.sub.-- k) to select the concatenated VIDEO.sub.-- DATA and WID; disables local host data buffers (BUF.sub.-- 1 through BUF.sub.-- k); and enables the LUT 20 output. Therefore, the output of the LUTs 20 provide the gamma corrected P-bit value, based on an address supplied by the N-bit linear color data, from a selected one of the 2.sup.w gamma correction tables, based on WID. That is, by changing the value of WID different regions of the GC LUT 20 are addressed.

For the example shown in FIG. 3, the pixels within window 1 are gamma corrected from a first correction table stored within GC LUT 20, the pixels within window 2 are gamma corrected from a second correction table stored within GC LUT 20, etc. The simultaneous use, within a display screen, of different correction tables enables image data from various sources to be displayed at, for example, one brightness level. Also, different regions (windows) of a displayed image can be given different brightnesses or contrasts as desired for a particular application.

Data is shifted out of the serializer 26 at every video clock (VID.sub.-- CLK). On every k-th VID.sub.-- CLK, a signal LD.sub.-- VID.sub.-- DATA-- is generated, which parallel loads parallel data, the output of LUTs 20, into the serializer 26 shift registers.

During a GC LUT 20 update cycle by the local host, the local host first asserts the WS.sub.-- EN.sub.-- GC-- signal, which causes MUX.sub.-- 1 through MUX.sub.-- K to select the WS.sub.-- ADDR as the output of the MUXs. The assertion of the WS.sub.-- EN.sub.-- GC-- signal also disables the LUT 20 outputs and enables the BUF outputs, such that WS.sub.-- DATA is used as the input to the LUTs 20 data port. Subsequently, the local host strobes WS.sub.-- WRT.sub.-- GC--, which loads the WS.sub.-- DATA into the LUTs 20 using the address provided by WS.sub.-- ADDR.

It should be noted that for a R, G, B frame buffer 18, there are three sets of IGC LUTs 16 and GC LUTs 20, one for each of the R, G, B, data paths. However, there is only one WID path, since all R, G, B data bits are applied to the same window. Thus, a minimum number of bit planes is 3N+W for the RGB system. This provides independent gamma correction for each color component for both the input and the output of the FB 18.

The foregoing has disclosed methods and apparatus for performing non-linear pixel based intensity transforms, such as gamma and inverse gamma correction, upon digital video data. The use and design of LUT memories to perform these operations has been described. Also, use of a secondary pixel plane to select from multiple gamma functions in the LUT provides a windowing capability to specifically support multiple display gammas, in addition to generally performing non-linear image processing within a window. Furthermore, the significance of input-to-output number capacity has been addressed so as to minimize losses for gamma transforms in both directions. Also, a method for determining adequate integer number ranges for both transforms has been disclosed.

While the invention has been particularly shown and described with respect to a preferred embodiment thereof, it will be understood by those skilled in the art that changes in form and details may be made therein without departing from the scope and spirit of the invention.

APPENDIX A

TABLE 1______________________________________N = 256P = 256.gamma. = 2.2S = (P - 1) = 255 ##STR1## ##STR2##I O I______________________________________ 0 0.0000 0 0.0000 0 1 20.5427 21 1.0496 1 2 28.1508 28 1.9765 2 3 33.8479 34 3.0297 3 4 38.5764 39 4.0973 4 5 42.6945 43 4.0790 5 6 46.3835 46 5.8914 6 7 49.7501 50 7.0776 7 8 52.8632 53 8.0456 8 9 55.7705 56 9.0817 9 10 58.5065 59 10.1865 10 11 61.0968 61 10.9617 11 12 63.5617 64 12.1828 12 13 65.9168 66 13.0361 13 14 68.1751 68 13.9210 14 15 70.3469 70 14.8377 15 16 72.4412 72 15.7864 16 17 74.4652 74 16.7672 17 18 76.4252 76 17.7804 18 19 78.3267 78 18.8261 19 20 80.1744 80 19.9044 20 21 81.9723 82 21.0156 21 22 83.7241 84 22.1598 22 23 85.4330 85 22.7443 23 24 87.1018 87 23.9383 24 25 88.7331 89 25.1657 25 26 90.3292 90 25.7920 26 27 91.8921 92 27.0698 27 28 93.4238 93 27.7213 28 29 94.9259 95 29.0498 29 30 96.4000 96 29.7268 30 31 97.8476 98 31.1064 31 32 99.2699 99 31.8089 32 33 100.6681 101 33.2398 33 34 102.0434 102 33.9682 34 35 103.3969 103 34.7051 35 36 104.7294 105 36.2050 36 37 106.0418 106 36.9679 37 38 107.3351 107 37.7395 38 39 108.6099 109 39.3088 39 40 109.8670 110 40.1066 40 41 111.1071 111 40.9131 41 42 112.3308 112 41.7284 42 43 113.5387 114 43.3853 43 44 114.7314 115 44.2270 44 45 115.9094 116 45.0775 45 46 117.0731 117 45.9368 46 47 118.2232 118 46.8050 47 48 119.3600 119 47.6821 48 49 120.4840 120 48.5680 49 50 121.5955 122 50.3667 50 51 122.6949 123 51.2794 51 52 123.7827 124 52.2011 52 53 124.8591 125 53.1317 53 54 125.9244 126 54.0713 54 55 126.9791 127 55.0199 55 56 128.0234 128 55.9775 56 57 129.0575 129 56.9442 57 58 130.0818 130 57.9198 58 59 131.0965 131 58.9045 59 60 132.1018 132 59.8983 60 61 133.0981 133 60.9011 61 62 134.0855 134 61.9131 62 63 135.0642 135 62.9341 63 64 136.0345 136 63.9643 64 65 136.9966 137 65.0035 65 66 137.9506 138 66.0520 66 67 138.8968 139 67.1096 67 68 139.8353 140 68.1763 68 69 140.7663 141 69.2522 69 70 141.6900 142 70.3374 70 71 142.6065 143 71.4317 71 72 143.5160 144 72.5353 73 73 144.4186 144 72.5353 73 ** 74 145.3145 145 73.6481 74 75 146.2039 146 74.7701 75 76 147.0868 147 75.9014 76 77 147.9633 148 77.0420 77 78 148.8337 149 78.1919 78 79 149.6980 150 79.3510 79 80 150.5564 151 80.5195 81 81 151.4089 151 80.5195 81 ** 82 152.2557 152 81.6973 82 83 153.0969 153 82.8844 83 84 153.9326 154 84.0809 84 85 154.7629 155 85.2867 85 86 155.5879 156 86.5019 87 87 156.4076 156 86.5019 87 ** 88 157.2223 157 87.7265 88 89 158.0319 158 88.9605 89 90 158.8365 159 90.2039 90 91 159.6363 160 91.4567 91 92 160.4313 160 91.4567 91 ** 93 161.2216 161 92.7190 93 94 162.0073 162 93.9907 94 95 162.7884 163 95.2718 95 96 163.5651 164 96.5624 97 97 164.3374 164 96.5624 97 ** 98 165.1053 165 97.8625 98 99 165.8690 166 99.1721 99100 166.6285 167 100.4912 100101 167.3838 167 100.4912 100 **102 168.1351 168 101.8198 102103 168.8824 169 103.1579 103104 169.6257 170 104.5056 105105 170.3651 170 104.5056 105 **106 171.1007 171 105.8628 106107 171.8326 172 107.2295 107108 172.5607 173 108.6058 109109 173.2851 173 108.6058 109 **110 174.0059 174 109.9918 110111 174.7232 175 111.3873 111112 175.4369 175 111.3873 111 **113 176.1472 176 112.7923 113114 176.8541 177 114.2071 114115 177.5575 178 115.6314 116116 178.2577 178 115.6314 116 **117 178.9546 179 117.0654 117118 179.6482 180 118.5090 119119 180.3386 180 118.5090 119 **120 181.0259 181 119.9623 120121 181.7100 182 121.4252 121122 182.3911 182 121.4252 121 **123 183.0691 183 122.8978 123124 183.7442 184 124.3801 124125 184.4163 184 124.3801 124 **126 185.0854 185 125.8721 126127 185.7517 186 127.3738 127 **128 187.4151 186 127.3738 127129 187.0756 187 128.8853 129130 187.7334 188 130.4064 130131 188.3885 188 130.4064 130 **132 189.0408 189 131.9373 132133 189.6904 190 133.4780 133134 190.3374 190 133.4780 133 **135 190.9817 191 135.0284 135136 191.6235 192 136.5886 137137 192.2626 192 136.5886 137 **138 192.8993 193 138.1586 138139 193.5334 194 139.7383 140140 195.1650 194 139.7383 140 **141 194.7942 195 141.3279 141142 195.4210 195 141.3279 141 **143 196.0453 196 142.9273 143144 196.6673 197 144.5365 145145 197.2869 197 144.5365 145 **146 197.9042 198 146.1555 146147 198.5192 199 147.7844 148148 199.1319 199 147.7844 148 **149 199.7424 200 149.4231 149150 200.3506 200 149.4231 149 **151 200.9566 201 151.0717 151152 201.5605 202 152.7302 153153 202.1621 202 152.7302 153 **154 202.7617 203 154.3985 154155 203.3591 203 154.3985 154 **156 203.9544 204 156.0767 156157 204.5476 205 157.7649 158158 205.1388 205 157.7649 158 **159 205.7280 206 159.4629 159160 206.3151 206 159.4629 159 **161 206.9002 207 161.1709 161162 207.4834 207 161.1709 161 **163 208.0646 208 162.8888 163164 208.6438 209 164.6166 165165 209.2211 209 164.6166 165 **166 209.7965 210 166.3544 166167 210.3701 210 166.3544 166 **168 210.9417 211 168.1021 168169 211.5115 212 169.8598 170170 212.0795 212 169.8598 170 **171 212.6457 213 171.6275 172172 213.2100 213 171.6275 172 **173 213.7726 214 173.4052 173174 214.3334 214 173.4052 173 **175 214.8924 215 175.1929 175176 215.4497 215 175.1929 175 **177 216.0053 216 176.9905 177178 216.5591 217 178.7982 179179 217.1113 217 178.7982 179 **180 217.6618 218 180.6159 181181 218.2106 218 180.6159 181 **182 218.7578 219 182.4437 182183 219.3033 219 182.4437 182 **184 219.8472 220 184.2815 184185 220.3895 220 184.2815 184 **186 220.9302 221 186.1293 186187 221.4693 221 186.1293 186 **188 222.0069 222 187.9872 188189 222.5429 223 189.8552 190190 223.0773 223 189.8552 190 **191 223.6102 224 191.7332 192192 224.1416 224 191.7332 192 **193 224.6715 225 193.6214 194194 225.1999 225 193.6214 194 **195 225.7268 226 195.5196 196196 226.2522 226 195.5196 196 **197 226.7762 227 197.4280 197198 227.2987 227 197.4280 197 **199 227.8198 228 199.3464 199200 228.3395 228 199.3464 199 **201 228.8577 229 201.2750 201202 229.3746 229 201.2750 201 **203 229.8900 230 203.2137 203204 230.4041 230 203.2137 203 **205 230.9168 231 205.1626 205206 231.4281 231 205.1626 205 **207 231.9381 232 207.1216 207208 232.4467 232 207.1216 207 **209 232.9540 233 209.0907 209210 233.4600 233 209.0907 290 **211 233.9647 234 211.0701 211212 234.4681 234 211.0701 211 **213 234.9701 235 213.0596 213214 235.4709 235 213.0596 213 **215 235.9704 236 215.0593 215216 236.4687 236 215.0593 215 **217 236.9657 237 217.0692 217218 237.4614 237 217.0692 217 **219 237.9559 238 219.0893 219220 238.4492 238 219.0893 219 **221 238.9413 239 221.1196 221222 239.4321 239 221.1196 221 **223 239.9217 240 223.1601 223224 240.4102 240 223.1601 223 **225 240.8974 241 225.2108 225226 241.3835 241 225.2108 225 **227 241.8684 242 227.2718 227228 242.3521 242 227.2718 227 **229 242.8347 243 229.3431 229230 243.3161 243 229.3431 229 **231 243.7964 244 231.4245 231232 244.2756 244 231.4245 231 **233 244.7536 245 233.5163 234234 245.2306 245 233.5163 234 **235 245.7064 246 235.6183 236236 246.1811 246 235.6183 236 **237 246.6547 247 237.7306 238238 247.1272 247 237.7306 238 **239 247.5986 248 239.8532 240240 248.0690 248 239.8532 240 **241 248.5383 249 241.9861 242242 249.0065 249 241.9861 242 **243 249.4737 249 241.9861 242 **244 249.9398 250 244.1292 244245 250.4049 250 244.1292 244 **246 250.8690 251 246.2827 246247 251.3320 251 246.2827 246 **248 251.7940 252 248.4466 248249 252.2550 252 248.4466 248 **250 252.7150 253 250.6207 251251 253.1740 253 250.6207 251 **252 253.6320 254 252.8052 253253 254.0890 254 252.8052 253 **254 254.5450 255 255.0000 255255 255.0000 255 255.0000 255 **______________________________________ 184 unique + 72 duplicates = 256 total

APPENDIX B

TABLE 2______________________________________N = 256P = 1024.gamma. = 2.2S = (P - 1) = 1023 ##STR3## ##STR4##I O I______________________________________ 0 0.0000 0 0.0000 0 1 82.4126 82 0.9890 1 2 112.9342 113 2.0026 2 3 135.7898 136 3.0102 3 4 154.7595 155 4.0137 4 5 171.2803 171 4.9820 5 6 186.0796 186 5.9944 6 7 199.5856 200 7.0320 7 8 212.0749 212 7.9938 8 9 223.7383 224 9.0232 9 10 234.7141 235 10.0268 10 11 245.1061 245 10.9895 11 12 254.9944 255 12.0006 12 13 264.4427 264 12.9522 13 14 273.5023 274 14.0561 14 15 282.2154 282 14.9748 15 16 290.6170 291 16.0464 16 17 298.7368 299 17.0330 17 18 306.6000 307 18.0517 18 19 314.2284 314 18.9696 19 20 321.6407 322 20.0492 20 21 328.8535 329 21.0206 21 22 335.8813 336 22.0171 22 23 342.7370 343 23.0389 23 24 349.4319 349 23.9348 24 25 355.9762 356 25.0037 25 26 362.3794 362 25.9402 26 27 368.6495 369 27.0565 27 28 374.7942 375 28.0338 28 29 380.8203 381 29.0301 29 30 386.7341 387 30.0454 30 31 392.5414 393 31.0797 31 32 398.2473 398 31.9563 32 33 403.8568 404 33.0258 33 34 409.3743 409 33.9317 34 35 414.8039 415 35.0364 35 36 420.1496 420 35.9718 36 37 425.4149 425 36.9207 37 38 430.6031 431 38.0771 38 39 435.7174 436 39.0557 39 40 440.7607 441 40.0478 40 41 445.7356 446 41.0535 41 42 450.6448 451 42.0729 42 43 455.4906 455 42.8982 43 44 460.2753 460 43.9421 44 45 465.0011 465 44.9998 45 46 469.6699 470 46.0712 46 47 474.2837 474 46.9382 47 48 478.8443 479 48.0343 48 49 483.3533 483 48.9212 49 50 487.8124 488 50.0423 50 51 492.2231 492 50.9492 51 52 496.5869 497 52.0952 52 53 500.9052 501 53.0221 53 54 505.1793 505 53.9579 54 55 509.4103 509 54.9026 55 56 513.5996 514 56.0961 56 57 517.7483 518 57.0610 57 58 521.8575 522 58.0349 58 59 525.9282 526 59.0177 59 60 529.9615 530 60.0096 60 61 533.9582 534 61.0105 61 62 537.9194 538 62.0204 62 63 541.8459 542 63.0394 63 64 545.7386 546 64.0675 64 65 549.5982 550 65.1046 65 66 553.4255 553 65.8884 66 67 557.2213 557 66.9415 67 68 560.9864 561 68.0036 68 69 564.7214 565 69.0749 69 70 568.4270 568 69.8844 70 71 572.1038 572 70.9717 71 72 575.7524 576 72.0681 72 73 579.3736 579 72.8965 73 74 582.9677 583 74.0090 74 75 586.5355 587 75.1307 75 76 590.0774 590 75.9781 76 77 593.5940 594 77.1159 77 78 597.0858 597 77.9753 78 79 600.5532 601 79.1294 79 80 603.9968 604 80.0009 80 81 607.4170 607 80.8777 81 82 610.8142 611 82.0549 82 83 614.1889 614 82.9429 83 84 617.5415 618 84.1373 84 85 620.8724 621 85.0384 85 86 624.1820 624 85.9449 86 87 627.4706 627 86.8565 87 88 630.7387 631 88.0802 88 89 633.9866 634 89.0041 89 90 637.2147 637 89.9333 90 91 640.4233 640 90.8677 91 92 643.6126 644 92.1219 92 93 646.7832 647 93.0686 93 94 649.9352 650 94.0206 94 95 653.0689 653 94.9779 95 96 656.1847 656 95.9406 96 97 659.2829 659 96.9085 97 98 662.3637 662 97.8817 98 99 665.4273 665 98.8602 99100 668.4742 668 99.8440 100101 671.5045 672 101.1640 101102 674.5184 675 102.1603 102103 677.5163 678 103.1618 103104 680.4983 680 103.8325 104105 683.4648 683 104.8430 105106 686.4159 686 105.8588 106107 689.3518 689 106.8799 107108 692.2728 692 107.9064 108109 695.1791 695 108.9382 109110 698.0708 698 109.9754 110111 700.9483 701 111.0180 111112 703.8117 704 112.0659 112113 706.6611 707 113.1192 113114 709.4969 709 113.8244 114115 712.3191 712 114.8867 115116 715.1279 715 115.9544 116117 717.9236 718 117.0274 117118 720.7062 721 118.1058 118119 723.4761 723 118.8278 119120 726.2332 726 119.9152 120121 728.9779 729 121.0081 121122 731.7102 732 122.1063 122123 734.4303 734 122.8415 123124 737.1384 737 123.9488 124125 739.8346 740 125.0615 125126 742.5191 743 126.1796 126127 745.1920 745 126.9280 127128 747.8534 748 128.0552 128129 750.5035 751 129.1878 129130 753.1424 753 129.9459 130131 755.7702 756 131.0876 131132 758.3872 758 131.8518 132133 760.9933 761 133.0026 133134 763.5888 764 134.1588 134135 766.1737 766 134.9327 135136 768.7483 769 136.0980 136137 771.3125 771 136.8779 137138 773.8665 774 138.0524 138139 776.4105 776 138.8384 139140 778.9444 779 140.0220 140141 781.4686 781 140.8141 141142 783.9830 784 142.0068 142143 786.4877 786 142.8050 143144 788.9829 789 144.0069 144145 791.4687 791 144.8112 145146 793.9451 794 146.0222 146147 796.4123 796 146.8326 147148 798.8704 799 148.0528 148149 801.3194 801 148.8694 149150 803.7595 804 150.0988 150151 806.1907 806 150.9214 151152 808.6132 809 152.1600 152153 811.0270 811 152.9888 153154 813.4322 813 153.8201 154155 815.8288 816 155.0716 155156 818.2171 818 155.9090 156157 820.5970 821 157.1697 157158 822.9687 823 158.0132 158159 825.3322 825 158.8592 159160 827.6876 828 160.1329 160161 830.0350 830 160.9851 161162 832.3745 832 161.8397 162163 834.7060 835 163.1263 163164 837.0298 837 163.9871 164165 839.3459 839 164.8504 165166 841.6544 842 166.1500 166167 843.9552 844 167.0195 167168 846.2486 846 167.8915 168169 848.5345 849 169.2040 169170 850.8131 851 170.0822 170171 853.0842 853 170.9628 171172 855.3484 855 171.8459 172173 857.6052 858 173.1752 173174 859.8550 860 174.0646 174175 862.0977 862 174.9564 175176 864.3334 864 175.8507 176177 866.5622 867 177.1968 177178 868.7842 869 178.0973 178179 870.9994 871 179.0003 179180 873.2078 873 179.9058 180181 875.4095 875 180.8138 181182 877.6046 878 182.1804 182183 879.7932 880 183.0947 183184 881.9752 882 184.0114 184185 884.1508 884 184.9306 185186 886.3200 886 185.8523 186187 888.4828 888 186.7765 187188 890.6393 891 188.1676 188189 892.7896 893 189.0980 189190 894.9336 895 190.0310 190191 897.0715 897 190.9665 191192 899.2034 899 191.9045 192193 901.3292 901 192.8450 193194 903.4489 903 193.7880 194195 905.5628 906 195.2072 195196 907.6707 908 196.1565 196197 909.7728 910 197.1083 197198 911.8690 912 198.0626 198199 913.9595 914 199.0194 199200 916.0443 916 199.9787 200201 918.1234 918 200.9406 201202 920.1968 920 201.9050 202203 922.2647 922 202.8719 203204 924.3270 924 203.8413 204205 926.3838 926 204.8132 205206 928.4351 928 205.7877 206207 930.4810 930 206.7646 207208 932.5216 933 208.2348 208209 934.5568 935 209.2181 209210 936.5866 937 210.2040 210211 938.6113 939 211.1923 211212 940.6306 941 212.1832 212213 942.6449 943 213.1766 213214 944.6539 945 214.1725 214215 946.6578 947 215.1710 215216 948.6567 949 216.1720 216217 950.6505 951 217.1755 217218 952.6393 953 218.1816 218219 954.6232 955 219.1902 219220 956.6021 957 220.2014 220221 958.5761 959 221.2151 221222 960.5452 961 222.2313 222223 962.5095 963 223.2501 223224 964.4690 964 223.7604 224225 966.4238 966 224.7830 225226 968.3738 968 225.8081 226227 970.3191 970 226.8358 227228 972.2597 972 227.8660 228229 974.1957 974 228.8988 229230 975.1271 976 229.9341 230231 978.0540 978 230.9720 231232 979.9762 980 232.0124 232233 981.8940 982 233.0553 233234 983.8073 984 234.1009 234235 985.7161 986 235.1489 235236 987.6205 988 236.1995 236237 989.5205 990 237.2527 237238 991.4161 991 237.7803 238239 993.3074 993 238.8373 239240 995.1944 995 239.8969 240241 997.0771 997 240.9590 241242 998.9556 999 242.0237 242243 1000.8298 1001 243.0909 243244 1002.6998 1003 244.1607 244245 1004.5656 1005 245.2331 245246 1006.4273 1006 245.7703 246247 1008.2849 1008 246.8465 247248 1010.1384 1010 247.9253 248249 1011.9877 1012 249.0066 249250 1013.8331 1014 250.0906 250251 1015.6744 1016 251.1770 251252 1017.5118 1018 252.2661 252253 1019.3451 1019 252.8116 253254 1021.1745 1021 253.9045 254255 1023.0000 1023 255.0000 255______________________________________ 256 unique + 0 duplicates = 256 total

Claims

1. An image display system comprising:

a source of image pixel data wherein each pixel has an M-bit value within a first non-linear range of values;

first means, coupled to an output of said source, for converting each of said M-bit pixel values to an N-bit pixel value within a linear range of values;

storage means, having an input coupled to an output of said first converting means, for storing the N-bit pixel values; and

second means, coupled to an output of said storage means, for converting N-bit pixel values output by said storage means to P-bit pixel values within a second non-linear range of values, said second means converting the N-bit pixel values prior to an application of said converted P-bit pixel values to a display means.

2. An image display system as set forth in claim 1 wherein said first converting means operates in accordance with a gamma correction function and wherein said second converting means operates in accordance with an inverse gamma correction function.

3. An image display system as set forth in claim 1 wherein said first converting means includes a first memory means having address inputs coupled to said M-bit pixel values, said first memory means having a plurality of entries each of which stores a gamma corrected pixel value.

4. An image display system as set forth in claim 3 wherein said second converting means includes a second memory means having address inputs coupled to said N-bit pixel values, said second memory means having a plurality of entries each of which stores an inverse gamma corrected pixel value.

5. An image display system as set forth in claim 4 wherein said first memory means and said second memory means are each coupled to means for storing said corrected pixel values therein.

6. An image display system as set forth in claim 4 wherein said second memory means stores a plurality of sets of inverse gamma corrected pixel values, and wherein said storage means further stores, in association with each of the N-bit pixel values, a value that specifies a particular one of said plurality of sets of inverse gamma corrected pixel values for use in converting an associated one of said N-bit pixel values.

7. An image display system as set forth in claim 1 wherein M is greater than N and wherein P is equal to or greater than N.

8. An image display system as set forth in claim 1 wherein P and N are related to an expression E=[S(e).sup.1/y /S].sup.y, where E is a video signal voltage and where y is a power function exponent, both of which are associated with the display means, and where the coefficient S satisfies the following relations:

O=INT[P-1)(I/N-1).sup.1/y +0.5] and

I=INT[(N-1)(O/P-1).sup.y +0.5],

where N=a number of linear input (I) levels, P=a number of gamma corrected output (O) levels, (I/N-1) and (O/P-1) are normalized input and output values, respectively, S=P-1, and INT is a truncating integer function.

9. An image display system as set forth in claim 1 wherein said source includes a camera having means for inverse gamma correcting a signal generated by said camera.

10. An image display system as set forth in claim 9 wherein said source further includes an analog-to-digital conversion means having an input for receiving the inverse gamma corrected signal from said camera and an output for expressing the inverse gamma corrected signal with M-bits.

11. An image display system as set forth in claim 1 and further including a digital-to-analog conversion means having a P-bit input coupled to an output of said second converting means.

12. A method of operating an image display system, comprising the steps of:

generating image pixel data wherein each pixel has an M-bit value within a first non-linear range of values;

converting each of the M-bit pixel values to an N-bit pixel value within a linear range of values;

storing the N-bit pixel values; and

converting N-bit pixel values output by said storage means to P-bit pixel values within a second non-linear range of values.

13. A method as set forth in claim 12 and including a step of applying the converted P-bit pixel data to a display means.

14. A method as set forth in claim 12 wherein said first step of converting operates in accordance with a gamma correction function and wherein the second step of converting operates in accordance with an inverse gamma correction function.

15. A method as set forth in claim 12 wherein said second step of converting converts the N-bit pixel values in accordance with one of a plurality of sets of inverse gamma corrected pixel values.

16. A method as set forth in claim 15 wherein the second step of converting includes a step of specifying, for each N-bit pixel value, a particular one of the plurality of sets of inverse gamma corrected pixel values.

17. A method as set forth in claim 12 wherein M is greater than N and wherein P is equal to or greater than N.

18. A method as set forth in claim 13 wherein M and N are related to an expression E=[S(e).sup.1/y /S].sup.y, where E is a video signal voltage and where y is a power function exponent both of which are associated with the display means, and where the coefficient S satisfies the following relations:

O=INT[P-1)(I/N-1).sup.1/y +0.5] and

I=INT[(N-1)(O/P-1).sup.y +0.5],

where N=a number of linear input (I) levels, P=a number of gamma corrected output (O) levels, (I/N-1) and (O/P-1) are normalized input and output values, respectively, S=P-1, and INT is a truncating integer function.

19. A method as set forth in claim 12 wherein the step of generating includes a step of inverse gamma correcting a signal generated by a camera.

20. A method as set forth in claim 19 wherein the step of generating includes a step of analog-to-digital converting the inverse gamma corrected signal from the camera into a digital representation thereof, the digital representation having M-bits.

21. A method as set forth in claim 12 and further including a step of digital-to-analog converting the P-bit pixel values.

22. An image display system comprising:

a source of inverse gamma corrected image pixel data wherein each pixel is expressed with M-bits;

means, coupled to an output of said source, for gamma correcting each of said M-bit pixel values to an N-bit value within a linear range of values;

frame buffer means, having an input coupled to an output of said first converting means, for storing the gamma converted N-bit pixel values;

means, coupled to an output of said frame buffer means, for inverse gamma correcting N-bit pixel values output by said frame buffer means to P-bit pixel values; and

means, coupled to an output of said inverse gamma correcting means, for converting the P-bit pixel data to an analog voltage for driving a CRT-display means.

23. An image display system as set forth in claim 22 wherein M is greater than N and wherein P is equal to or greater than N.

24. An image display system as set forth in claim 22 wherein said gamma correcting means includes a first look-up table means having address inputs coupled to said M-bit pixel values; and wherein said inverse gamma correcting means includes a second look-up table means having address inputs coupled to said N-bit pixel values.

25. An image display system as set forth in claim 24 wherein said first look-up table means and said second look-up table means are each coupled to a host means operable for storing gamma correction values and inverse gamma correction values, respectively, therein.

26. An image display system as set forth in claim 22 wherein said frame buffer means is coupled to a host means operable for storing N-bit image pixel data therein.

27. An image display system as set forth in claim 24 wherein said second look-up table means stores a plurality of sets of inverse gamma corrected pixel values, and wherein said frame buffer means further stores, in association with each of the N-bit pixel values, a value expressed with W-bits that specifies a particular one of said plurality of sets of inverse gamma corrected pixel values for use in converting an associated one of said N-bit pixel values.

28. An image display system as set forth in claim 27 wherein said frame buffer means is comprised of xN+W-bit memory planes, where x is a number of color signal inputs to said CRT-display means.

29. An image display system comprising:

a source of image pixel data wherein each pixel has an M-bit value within a non-linear range of values;

first means, coupled to an output of said source, for converting each of said M-bit pixel values to an N-bit value within a linear range of values;

storage means, having an input coupled to an output of said first converting means, for storing the N-bit pixel values; and

second means, coupled to an output of said storage means, for converting N-bit pixel values output by said storage means to P-bit pixel values within a non-linear range of values, said second means converting the N-bit pixel values prior to an application of said converted P-bit pixel values to a display means; wherein

P and N are both related to an expression E=[S(e).sup.1/y /S].sup.y, where E is a video signal voltage and where y is a power function exponent, both of which are associated with the display means, and where the coefficient S satisfies the following relations:

O=INT[P-1)(I/N-1).sup.1/y +0.5] and

I=INT[(N-1)(O/P-1).sup.y +0.5],

where N=a number of linear input (I) levels, P=a number of gamma corrected output (O) levels, (I/N-1) and (O/P-1) are normalized input and output values, respectively, S=P-1, and INT is a truncating integer function.

30. Apparatus for use in displaying an image with a display means, comprising:

frame buffer means having a plurality of entries each of which stores information for one display means pixel, each of said entries comprising N+W bits; and

memory means having address inputs coupled to an output of said frame buffer means for receiving N+W bits therefrom, said memory means storing W sets of N entries, each of said N entries storing a predetermined pixel value modification factor, wherein said W bits received from said frame buffer means selects one of said W sets of N entries, and wherein said N bits received from said frame buffer means selects one of said predetermined pixel value modification factors within the selected set.

31. Apparatus as set forth in claim 30 wherein said W bits specify an identity of a display means window, and wherein each of said predetermined pixel modification factors specifies an inverse gamma correction factor that has a value that is a function of the display means.