This disclosure relates to the field of deflection correction waveform generation and in particular to the digital generation of geometric and convergence correction signal waveforms.
Digital convergence in a projection television receiver can be achieved using a two dimensional matrix of adjustable factors applicable to points distributed at regular intervals across the visible screen area. The degree of deflection correction may be finely adjusted at each of these points independently.
In the horizontal direction the deflection correction is determined by a numeric digital factor applicable at the matrix points, which is converted to an analog signal for driving a convergence correction coil. At intermediate points between the points on the matrix, the correction factor is determined by averaging with an analog filter. In the vertical direction it is necessary to calculate the values for the intervening scan lines between the lines corresponding to the points on the correction matrix. In a lower cost display system, correction for the lines between the points that are numerically defined are determined by taking a difference between the correction values for the nearest adjustment point above and below the point in question, dividing by the number of lines in between the adjustment points, and weighting the correction value for the particular line being determined by linear interpolation. Thus the waveform that is generated follows a straight line between the two numeric points. To facilitate interlace scanning an offset value may be added to the correction data for alternate fields.
Digital correction may affect picture geometry in addition to converging corresponding points on the three color rasters. Green is typically chosen to be centered on the projection system optical axis. In this position, the image on the face of the green tube suffers least geometric distortion. Red and blue displays are positioned on the axis vertically but typically are located off the optical axis horizontally. As a result, the red and blue rasters are additionally distorted and require keystone shaping to compensate for this off axis projection location. Because the optical distortion is minimum for the green image, it is chosen as the geometric reference. The green raster is sized and shaped by correction waveforms to minimize geometric distortion. The red and blue rasters are then matched to align precisely with the green image.
The uncorrected green raster suffers a large vertical pincushion distortion which is corrected by a correction waveform. For optimum geometry, the correction waveform along each column has a distinct S-shape having sinusoidal and parabolic components, and for the off axis red and blue images an additional linear component is required.
The correction waveform may, for example, be adjustable along a matrix of factors defining 13 rows and 16 columns. For each point in the matrix, numerical factors define the associated displacement of the red, green and blue rasters to be effected at that point for achieving accurate picture geometry and alignment of the red and blue rasters. Since the number of correction points or nodes for each column is relatively small, for example twelve points spaced vertically in the visible area of the screen, the linearly interpolated S-shaped correction waveform may have abrupt changes in slope as it crosses each node. These slope changes at each adjustment line cause blocks of raster scan lines to appear with a brightness difference due to non-uniform spacing of the horizontal lines in adjacent areas where convergence is adjusted according to different matrix factors. If a video signal having a constant level or a “flat” field is displayed, the raster will exhibit a series of distinct horizontal bands or lines of differing brightness resulting from correction waveform discontinuities.
In an inventive arrangement a circuit generates a correction signal to correct image distortion on a display screen. A memory stores displacement values corresponding to spaced points on the screen in a grid of rows and columns. The displacement values of the grid generally defining correction curves for correcting the image distortion without introducing significant banded regions on the display screen. An interpolator is coupled to the memory for interpolating intermediate values between adjacent ones of the stored displacement values. A digital to analog converter is coupled to the interpolator for providing the correction signal.
In a further inventive arrangement a video apparatus has a cathode ray tube displays an image subject to image distortion. A deflection coil is located on the cathode ray tube and is driven by a drive amplifier. A digital to analog converter generates an output signal which is coupled to the drive amplifier. A memory has stored interpolated displacement values corresponding to spaced points on the in a grid of rows and columns. An interpolator is coupled to the memory and responsive to the stored interpolated displacement values the interpolator interpolates values adjacent to ones of the stored interpolated displacement values. The digital to analog converter is coupled to the interpolator and generates a correction signal to drive the deflection coil to correct the image distortion.
A digital raster correction system generally consists of a pattern generator, an amplifier for driving the convergence yokes, a memory for storing correction constants, and an interface to a controller or microprocessor. Such a system is shown with a single cathode ray tube and deflection arrangement in FIG. 1.
The digital raster correction system includes an internal controller 102. A microprocessor 30A may be employed together with an external video circuit 20 coupled to a convergence pattern generator 120 for independent adjustments and viewing of geometric or convergence correction. An external setup microprocessor, shown with a dotted outline, is used to process initial adjustment values which are written to EEPROM 103. Such an external microprocessor driven adjustment may be accomplished using automatic means to record and analyze convergence test pattern displays, and for generating initial or updated correction factors. Adjustments to geometric or convergence correction may be required, for example, to correct for mis-convergence resulting from changes in display orientation relative to the Earth's magnetic field or as a result of component failure, and these changes to the correction values stored EEPROM 103 may be accomplished by microprocessor 30A.
Geometric or convergence adjustments are made by defining a matrix of adjustment points for each of the three colors. The on-screen video pattern generator 120 can provide location references for adjustments at particular locations on the display corresponding to the matrix of data points stored in EEPROM 103. Adjustment or correction data from EEPROM 103 can be read into internal RAM 104 at power-up, and then used to generate further factors such as interpolated factors for use between adjacent reference locations. Internal RAM 104 stores 1248 data words which represent a matrix of 13 by 16 points, with X alignment points horizontally by Y alignment points vertically, by 2 representing horizontal and vertical corrections, by 3 representing the three display devices forming R, G and B images.
The active scan area of a display means, for example, is divided into a matrix of rows and columns, for the purposes of corrective control. The boundary lines of the rows and columns can be considered to define a cross hatch grid.
Positive or negative horizontal and vertical corrections may be employed for each of the three colors at each measurement point, as well as on the intervening horizontal scan lines between the measurement points. Referring to
In
In
Whereas there are more horizontal lines in the display than vertical points in a matrix of the convergence correction factors as suggested by FIG. 4. In order to proceed smoothly from one matrix value to the next, controller 102 linearly interpolates the value for each successive vertically spaced horizontal scan line. Referring to
Linear interpolation is relatively simple but produces sharp inflection points where the slope of the nominally S-shaped correction waveform changes. If the values shown in
If the correction values along each column had no changes of slope, as shown in
Banding may be eliminated by taking measured correction values for horizontal matrix or adjustment lines 2 and 12 of each column, and calculating a straight line between these values, that is, linearly interpolating the entire waveform for each column. However, such a linear column correction results in imperfect correction of vertical pincushion distortion because the required geometrically-dictated correction waveform is S-shaped, rather than a linear function, and has an amplitude that varies with the position of the column relative to the center vertical axis of the screen. This linearized, rather than S-shaped correction waveform produces a crosshatch display with straight top and bottom horizontal lines (2 & 12) and pincushion curvature inward from the top and bottom reducing to zero distortion at centerline (7) on all the inside horizontal lines. The resultant geometric distortion is depicted in FIG. 8. Horizontal matrix lines 1 and 13 are not visible because they are occur beyond the displayed area but if they were visible, they would slightly barrel outward. Pincushion curvature of this type is unacceptable because it geometrically distorts the image as a function of position on the screen. For example, the distortion causes curved edges of on-screen picture elements that a viewer knows to be straight. Blocks and lines such as the edges of menus and stock market strips, for example, are expected and required to appear straight.
A vertical rate analog convergence signal with an S-shape may be employed to correct the inner pincushion distortion described above, and to make fine adjustments to address the remaining distortion with signals derived from digital correction factors. Since the analog correction is continuous and a digital part of the correction may be relatively small, problems with banding and pincushion distortion are reduced. However, consistency of such analog correction signal is difficult to maintain due to component tolerance and temperature variations. Thus resulting compensation for such analog signal instability may result in undesirable added circuit complexity, cost and power dissipation.
It is possible to calculate and store correction values of each raster line. This calculation can include forcing a continuous or zero second derivative along each correction column. However, this method is relatively costly and complex, and may suffer from the tradeoff between banding minimization and pincushion distortion, as discussed above.
In a display, banding may be minimized to be substantially unnoticeable in the interest of accurate displayed image geometry. It was found experimentally in equipment according to this example, that banding in a flat field video image was substantially undetectable if the slope changes in the linearly interpolated data were permitted but held to be within a minimized range. For example, the curve for a vertical column may be adjusted to bend no more than plus or minus five steps of a Digital to Analog Converter (DAC) per crosshatch adjustment segment. A maximum curvature of three steps per adjustment segment was selected to facilitate S correction while maintaining banding at a substantially undetectable level.
According to an inventive aspect, a modified linearization technique is used to concurrently render banding substantially undetectable and significantly reduce distortion resulting from correction value linearization. Referring to the matrix of
Column curves obtained from the equations are shown in FIG. 9 and the equations are set forth in FIG. 10. The resulting crosshatch display produced with these equations is substantially as the ideal cross hatch shown in FIG. 3.
Devices that provide digital convergence correction with linear interpolation can be corrected for banding by forcing the second derivative of the correction waveform to be continuous at the endpoints of adjacent interpolation intervals. The invention described herein maintains the second derivative at substantially zero by linearization in the necessary areas, thereby removing banding. This is performed using linear interpolation with adjustments according to the equations shown.
According to an inventive aspect, specific horizontal lines located along the correction node points of a generated video crosshatch pattern are measured and corrected. According to a further aspect, only the green vertical corrections preferably are subject to banding linearization algorithm to render banding in the green display image imperceptible. The green vertical raster component is corrected because the green image contributes about 60% of the perceived display brightness and thus visible image degradation results if banding is present. Since the red and blue images contribute smaller amounts to the overall brightness, about 30% and 10% respectively, their contributions to the visibility of banding may be ignored. Red and blue raster corrections may be calculated to place them exactly on top of the green image without the requirement for linearization to suppress banding. However, use of the banding linearization algorithm is not excluded from use for red and blue raster corrections.
Since the vertical corrections are somewhat interactive, the entire alignment process is iterative with measurements of line location being made and corrections calculated and applied until lines 2, 7 and 12 (of
In a simplified example matrix shown in
One artifact of this approach is that the intervening node points may not be at desired locations. In fact, the locations of these lines tend to result in inner pincushion distortion. In
The added S-correction has the effect of moving location C downward while moving location C4 upward. In this simplified model, the second column Col2, uses half of the correction of column Col1 with the center column, Col3, requiring no S-correction.
A further refinement is useful in production situations where the variability of optics and electronics assemblies requires additional adjustment. As applied to the above example, this refinement consists of optimization of the magnitude of S correction, within the 2-3 LSB limitations, to achieve the best positioning (pincushion minimization) of lines 2 and 4 down each of the columns. This approach, although empirical and iterative in nature, becomes much more effective as the number of nodes down a column increases.
Application of the methods disclosed above renders banding artifacts, common to digital convergence correction devices, substantially undetectable while minimizing geometric image distortion.
This application claims the benefit of 60/057,250 filed Aug. 29, 1997.
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/US98/17920 | 8/28/1998 | WO | 00 | 2/18/2000 |
Publishing Document | Publishing Date | Country | Kind |
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WO99/11054 | 3/4/1999 | WO | A |
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Number | Date | Country | |
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60057250 | Aug 1997 | US |