The present invention relates generally to OLED displays and, more particularly, to an OLED display system and method for improving color accuracy, power consumption or lifetime, and gamma and black level correction of OLED displays that have three or more sub-pixel of different colors and at least one white sub-pixel.
In accordance with one embodiment, a method and system are provided for controlling an OLED display to achieve desired color points and brightness levels in an array of pixels in which each pixel includes at least three sub-pixels having different colors and at least one white sub-pixel. The method and system select a plurality of reference points in the pixel content domain with known color points and brightness levels. For each set of three sub-pixels of different colors, the method and system determine the share of each sub-pixel to produce the color point and brightness level of each selected reference point, and select the maximum share determined for each sub-pixel as the peak brightness needed from that sub-pixel.
In accordance with another embodiment, the method and system identify tri-color sets of three sub-pixels of different colors that encircle a desired color point, and, for each identified tri-color set of sub-pixels, determine the brightness shares of the sub-pixels in that tricolor set to produce the desired color point. The method and system select a set of share factors based on at least a pixel operation point and display performance, modify the brightness shares based on the share factors, and map the modified brightness shares to pixel input data. In one implementation, The method and system determine the efficiencies of the identified tri-color sets, increase the share factor of the tri-color set with the highest efficiency; decrease the share factor of the tri-color set with the lowest efficiency, as the gray scale of the desired color point increases, and decrease the share factor of the tri-color set with the highest efficiency, and increase the share factor of the tri-color set with the lowest efficiency, as the gray scale of the desired color point decreases.
A further embodiment provides an OLED display comprising an array of pixels in which each pixel includes at least three sub-pixels having different colors and at least one white sub-pixel for displaying desired color points and brightness levels. Each pixel includes at least three sub-pixels having different colors and at least one white sub-pixel, the sub-pixels having operating conditions that vary with the gray level displayed by the sub-pixel. The pixel has at least two sub-pixels for displaying the same color but having operating conditions that vary differently with the gray level being displayed. A controller selects one of the two sub-pixels displaying the same color, in response to a gray level input to that pixel.
The foregoing and other advantages of the invention will become apparent upon reading the following detailed description and upon reference to the drawings.
While the invention is susceptible to various modifications and alternative forms, specific embodiments have been shown by way of example in the drawings and will be described in detail herein. It should be understood, however, that the invention is not intended to be limited to the particular forms disclosed. Rather, the invention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.
Sub-Pixel Mapping
To improve color accuracy, power consumption or lifetime, OLED displays may have more than three primary sub-pixel colors. Therefore, proper color mapping is needed to provide continuous color space despite transitions between different color elements. Each pixel in such OLED displays consists of n sub-pixels {SP1, SP2, SP3 . . . SPn}. The peak brightness that each sub-pixel should be able to create can be calculated, and used for the design of the display or for adjusting the gamma levels to required levels.
The following is an example of calculating the brightness shares for a tri-color set of sub-pixels for a given white point and peak brightness:
Different standards exist for characterizing colors. One example is the 1931 CIE standard, which characterizes colors by a luminance (brightness) parameter and two color coordinates x and y. The coordinates x and y specify a point on a CIE chromatacity diagram, which represents the mapping of human color perception in terms of the two CIE parameters x and y. The colors that can be matched by combining a given set of three primary colors, such as red, green and blue, are represented by a triangle that joins the coordinates for the three colors, within the CIE chromaticity diagram.
The following is an example of the brightness shares:
The parameters x and y for the color points of the tri-color set and intended white point are as follows:
Each of the tri-color sets that encircles the pixel content will create a share of the pixel contents K1, K2 . . . Km, where the Ki's are the shares of the respective sub-pixels in each tri-color set in the pixel content. The value of each sub-pixel in each of the tri-color sets is calculated considering the share of each tri-color. One such method is based on the function illustrated in
Wc=K1*{C1, C2, C4}+K2*{C2, C4, C5}+K3*{C2, C3, C5}+K4*{C1, C2, C3}, where the Ki's are the share factors for the tri-color set.
Dynamic Share Factor Adjustment
The share of each tri-color set can be varied based on the pixel content. For example, some sets provide better characteristics (e.g., uniformity) at some grayscales, whereas other sets can be better for other characteristics (e.g., power consumption) at different grayscales.
In one example, a display consists of Red, Green, Blue and White sub-pixels. The white sub-pixel is very efficient and so it can provide lower power consumption at high brightness. However, due to higher efficiency, the non-uniformity compensation does not work well at lower gray scales. In this case, low gray scales can be created with less efficient sub-pixels (e.g., red, green, and blue). Thus, the share factor can be a function of gray scales to take advantage of different set strengths at each gray level. For example, the share factor of a tri-color set with the lowest efficiency (K1) can be reduced at higher gray levels and increased at lower gray scales. And the share factor of the tri-color set with the highest efficiency (K2=1−K1) can be increased as the gray scale increases. Thus, the display can have both lower-power consumption at higher brightness levels and higher-uniformity at lower gray scales. This function can be step, a linear function or any other complex function. However, a smoothing function can be used at large transitions to avoid contours.
Locally Optimized Sub-Pixels
Due to the wide range of specifications for display performance, the sub-pixels will have an optimum operation point, and diverging from that point can affect one or two specifications. For example, to achieve low power consumption, one can use drive TFTs that are as large as possible to reduce the operating voltage. On the other hand, at low current levels, the TFTs will operate in a non-optimized regime of operation (e.g., sub-threshold). On the other hand, using small TFTs to improve the low grayscale performance will affect the power consumption and lifetime due to using large operating currents.
To address the difficulty in having a single sub-pixel optimized across all gray levels and operation ranges (e.g. different environmental conditions, brightness levels, etc), one can add sub-pixels optimized for different operating ranges. To optimize the operation of each sub-pixel for a specific gray-level set, one can change the component size or use a different pixel circuit for each locally optimized sub-pixel. Here, one can share all or some components of the sub-pixel (e.g., OLEDs, bias transistors, bias lines, and others).
One can add sub-pixels optimized for different operating ranges. Here, one can share all or some components of the pixel (e.g., OLED, bias transistors, bias lines, and others).
Selecting each sub-pixel can be done either through a switch that activates or deactivates the sub-pixel, or through programming a sub-pixel with an off voltage to deactivate it.
The locally optimized sub-pixel method can be used for all sub-pixels or for only selected sub-pixels. For example, in the case of a RGBW sub-pixel structure, optimizing white sub-pixels across all gray levels is very difficult due to high OLED efficiency, while other sub-pixels can be optimized more easily. Thus, one can use a locally optimized sub-pixel method only for the white sub-pixel.
Gamma and Black Level Correction
A gamma calibration procedure ensures that colors displayed by a panel are accurate to the desired gamma curve, usually 2.2. The procedure has now been largely automated. The target white-point and curve are parameterized. The high level process is shown in
In the procedure of
One advantage of emissive displays is deep black level. However, due to the non-linear behavior of the pixels and non-uniformity in the pixels, it is difficult to achieve black levels based on a continuous gamma curve. In one method, the worst case is chosen, and the off voltage is calculated based on that. Then that voltage, with some margin, is assigned to the black gray level, which generally puts the panel in a deep negative biasing condition. Since some backplanes are sensitive to negative bias conditions, the panel will develop image burn-in and non-uniformity over time.
To avoid that, the black level can be adjusted based on panel uniformity information. In this case, the uniformity of the pixel is measured at step 801 in
In another aspect of this invention, a plurality of sensors are added to the panel, and the voltage of the black level is adjusted until all sensors provide zero readings. In this case, the initial start of the black level can be the calculated threshold voltage.
In another aspect of this invention, the black level for each sensor is adjusted individually, and a map of black level voltage is created based on each sensor data. This map can be created based on different methods of interpolation.
In another aspect of the invention, the black level has at least two values. One value is used for dark environments and another value is used for bright environments. Since the lower black level is not useful in bright environments, the pixel can be slightly on (at a level that is less than or similar to the reflection of the panel). Therefore, the pixel can avoid negative stress which is accelerated under higher brightness levels.
In another aspect of the invention, the black level has at least two values. One value is used when all the sup-pixels are off, and another value is used when at least one sub-pixel is ON. In this case, there can be a threshold for the brightness level of the ON sub-pixels required to switch to the second black level value for the OFF sub-pixels. For example, if the blue sub-pixel is ON and its brightness is higher than 1 nit, the other sub-pixels can be slightly ON (for example, less than 0.01 nit). In this case, the OFF sub-pixels can eliminate the negative bias stress under illumination.
In another aspect of the invention, the brightness of neighboring sub-pixel can be used to switch between different black level values. In this case, a weight can be assigned to the sub-pixels based on their distance from the OFF sub-pixels. In one example, this weight can be a fixed value, dropping to zero after a distance of a selected number of pixels. In another example, the weight can be a linear drop from one to zero. Also, different complex functions can be used for the weight function.
Measure Current Response
The steps for a measure-current-response process are summarized in
As pre-set list of grey scales is used to determine the measurement points that will be used. In one implementation, a list of 61 levels is used for characterization. These points are not linearly spaced; they are positioned more densely toward the low end of the curve, becoming sparser as the grey level increases. This is done to generally fit a 2.2 curve, not a linear one, and can be adjusted for other gamma curves. The list is ordered from the lowest target level (e.g., 0) to the highest target (e.g., 1023). Also, it can be in any other order. After applying each color level, the resulting luminance and/or color point (CIE-XY) are then recorded at step 904. Multiple measurements are taken, and error checking is employed to ensure the validity of the readings. For example, if the variation in the reading is too great, the setup is not working properly. Or if the reading shows an increasing or decreasing trend, it means the values have not settled yet. If luminance only is measured by a calibrated sensor, these readings are converted to luminance and color point data during processing based on a calibration curve of the sensor. The order of steps can be changed and still obtain valid results. Steps 903 and 904 are repeated until the last color is detected at step 905, after which steps 902-905 are repeated until the last gray color is detected at step 906.
Map Response to Target Curve
The target curve (e.g., the required gamma response) and white-point are specified as input parameters to the mapping function. The steps of this process are summarized in
The first step is to load the measured data from the generated by the characterization procedure. If the data to be processed is from a calibrated sensor, one additional step is required. The calibration files for the sensor are used to convert the raw sensor readings to luminance and color point values.
Once the data is loaded, the target color point and peak luminance are used to calculate the peak target luminance for each color. Step 1001 finds the grey scale which results in this luminance, which allows the new maximum grey scale for each color to be determined. If any of the colors are not able to achieve the target, the target is adjusted such that the highest achievable brightness is targeted instead. Then the luminance readings are normalized to one, with respect to this new maximum grey scale, at step 1002.
This normalized data can now be used to map the measurements to the target curve, generating a look up table at step 1003. Linear interpolation is used to estimate the luminance between the measurement points. However, different known curve fitting processes can be used as well. The target curve is created by normalizing the target curve and finding the values for each of the points from lowest gray level (e.g., 0) to the highest gray level (e.g., 1023).
Some cases, like the standard sRGB curve, are actually piece wise. In these cases, a different component is used for each part of the curve. For example, for the standard sRGB, there is a linear component at the low end while the remainder of the curve is exponential. As a result, linearization is applied to the low end of the lookup table at step 1004. The point where linearization needs to be applied can be extracted from mapping the measured data to the standard. For example, the linearization can be applied to the first 100 grey scales where gray 100 represents the brightness points that the standard identifies and the change in the curve.
After the linearization is applied, all that remains is to write the resulting lookup table (LUT) to the appropriate output formats, at step 1005.
While particular embodiments and applications of the present invention have been illustrated and described, it is to be understood that the invention is not limited to the precise construction and compositions disclosed herein and that various modifications, changes, and variations can be apparent from the foregoing descriptions without departing from the spirit and scope of the invention as defined in the appended claims.
This application is a continuation of U.S. patent application Ser. No. 15/652,481, filed Jul. 18, 2017, now allowed, which is a continuation of U.S. patent application Ser. No. 14/561,404, filed Dec. 5, 2014, now U.S. Pat. No. 9,741,282, which claims the benefit of U.S. Provisional Patent Applications Nos. 61/976,909, filed Apr. 8, 2014, and 61/912,786, filed Dec. 6, 2013, each of which is hereby incorporated by reference in its entirety.
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Number | Date | Country | |
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20180090050 A1 | Mar 2018 | US |
Number | Date | Country | |
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61976909 | Apr 2014 | US | |
61912786 | Dec 2013 | US |
Number | Date | Country | |
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Parent | 15652481 | Jul 2017 | US |
Child | 15822983 | US | |
Parent | 14561404 | Dec 2014 | US |
Child | 15652481 | US |