Color Enhancement for Micro-LED Displays

Improving the accuracy of white balance adjustment in displays by compensating the optical data of each gray scale to make the color mixing obey the additive color mixing law. The compensation involves calculating coefficients based on the original optical data, then compensating and recalculating the mixed chromaticity values. This allows fine-tuning white balance using a color analyzer since the corrected data satisfies the color mixing law.

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Reducing color difference between different color gamuts like sRGB and DCI-P3 on displays by dynamically adjusting the color calibration matrices. When displaying in the sRGB color space, it uses the standard sRGB matrix. But when displaying in DCI-P3, it uses the standard DCI-P3 matrix. However, in other modes like camera capture, it uses a customized matrix based on the color coordinate differences between sRGB and DCI-P3. This mitigates color shift issues when switching between gamuts.

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Automated color calibration method for LED displays that improves efficiency and accuracy compared to manual methods. It involves using test images to identify the output colors from the display when shown specific input colors. This data is used to establish a mapping between input and output colors. Then, the display is adjusted based on this mapping to correct the colors. Steps include identifying output colors from test images, establishing input-output mapping, and adjusting display colors using the mapping.

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Display device and control method for improving metamerism by transferring color measurements between displays with different light sources. The method involves obtaining a measurement value for a display's colors using a known color matching function. When a different display measures the same colors using its own matching function, the initial display can calibrate itself based on the transferred measurement. This improves metamerism between displays with different light sources.

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Automatic calibration method for white balance of LED display screens that improves calibration speed and accuracy compared to manual methods. The method involves iteratively adjusting the LED control signals based on gray level, horizontal axis difference, and vertical axis difference measurements. The adjustments converge on accurate white balance values for all grayscales. It uses a device with modules for determining gray levels, generating LED control info, displaying, measuring color, comparing, and adjusting.

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White balance correction method for displays that improves smoothness of grayscale transitions and prevents color shift in low grayscale images when the display operates in cool or warm tones. The method involves processing only the red, green, and blue grayscale data in the input display data. It does not change the display panel optical characteristics. The processing formulas adjust the grayscale values based on the display's operating temperature mode. This allows natural transition between cool and warm tones without affecting the display's color accuracy.

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A convenient and fast method to correct color consistency of multi-sided LED displays for XR (extended reality) shooting. The method involves using a camera to sample the LED display screens and fit chromaticity curves using cubic B-spline. This allows generating color lookup tables for each display to map input pixel values to corrected output values. Applying these tables to the displays during XR shooting ensures consistent color in captured footage.

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Color adjustment method for LED displays that improves color accuracy under varying ambient light conditions. The method involves collecting LED display data under different ambient lights, generating EETF curves for each light condition, and calling the appropriate EETF when ambient light changes to adjust display colors. This accounts for LED display gamut deviations and ambient light impact on color perception.

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Compensating color temperature in displays without requiring additional chromaticity pictures. The method involves obtaining initial and pure color chromaticity coordinates for grayscale and color images respectively. Using these, it determines the uncorrected full grayscale color temperature. Then, it adjusts the grayscale color temperature for each pure color image to match the full grayscale. By calculating these compensated grayscale chromaticities, it can correct the full grayscale chromaticity without taking pictures. This saves time compared to iterative methods.

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Method for compensating color cast in LED displays to improve efficiency and accuracy of full grayscale linear calibration. The method involves determining the original red, green, and blue tristimulus values for all gray levels, finding the target white tristimulus values for the reference gray scale, and mapping the corrected red, green, and blue values for each gray level by minimizing a distance function between the original and target whites. This allows finding the mapping to redisplay according to the input image gray scale for full gray scale linear calibration.

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Method to determine correction coefficients for LED displays with mixed batches of LEDs to improve display quality. The method involves acquiring images of the display with multiple cameras having different filters, then determining the original and target color gamuts for each pixel based on the filtered images. By converting the original gamut to the target gamut for each set of colors, correction coefficients can be calculated for each pixel to correct brightness and chromaticity.

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White balance correction method for display devices like screens to improve accuracy and reduce color temperature errors compared to existing methods. The method involves initial correction of pixel colors to bring them close to target values within a range. Then, it determines the matrix unit in a correction matrix where the target coordinates lie. Finally, it corrects the initial gains using the matrix compensation values for that unit. This secondary correction brings the final pixel colors closer to the target, reducing color temperature errors.

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Color matching two or more electronic displays of a display system like car infotainment to ensure consistent colors across displays. It involves obtaining spectral response readings from the displays using grayscale ramping, determining display-specific response curves and power distributions, and generating device-to-independent color mappings based on those. The mappings are then used to configure the display system to match colors between displays.

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Single-point correction method, device and system for LED display screens to improve image quality without increasing costs for smaller pitch displays. The method involves iteratively adjusting the brightness of individual LEDs to correct color non-uniformity in a localized area. A correction device analyzes a small region of the display and identifies the brightness values of each LED. It then calculates optimal corrections to the brightness of specific LEDs to match a target color balance for that region. The corrected brightness values are sent to the LED controller to implement the adjustments. This iterative process is repeated for other regions to fine-tune the display's color uniformity.

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Color calibration method for displays that improves accuracy by adjusting the backlight color parameters based on the target display colors. The method involves determining initial backlight color matching parameters for a given display color, having the backlight produce color using those params, measuring the resulting display color, calculating color matching coefficients based on the initial and target display colors, and finally adjusting the backlight parameters using the computed coefficients to achieve the target display color. This iterative process improves calibration accuracy compared to starting with fixed backlight params.

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Fast white balance calibration method for display devices that improves efficiency and accuracy compared to traditional methods. The method involves measuring the color coordinates of white, red, green, and blue on the display using a color analyzer. These values are used to derive the display's RGB to Yxy characteristic equation. Target RGB gains are determined based on reference white points and the equation. The calculated gains are written to the display for white balance adjustment. This allows finding suitable gains in one step for multiple color temperatures, reducing cycles compared to iterative methods.

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Micro-LED display pixels to improve color purity and efficiency by collimating emitted light and reducing cross-talk between sub-pixels. Each pixel has multiple sub-pixels with lenses and reflectors that contain and redirect the emitted light. The reflectors reflect pump light and transmit converted light. They also have apertures to limit cross-talk. This improves efficiency by preventing unconverted pump light from escaping the pixel. The lenses collimate the light to increase collection efficiency. The reflectors and lenses are designed to match and optimize the sub-pixel emissions.

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Uniformity correction method for display devices that improves color and brightness uniformity without requiring assembly sorting. The method involves characterizing the chromaticity and brightness uniformity of individual display panels and backlights using calibration methods. This data is then used to generate correction lookup tables for each panel and backlight. During display operation, the correction tables are applied to correct for any deviations in chromaticity and brightness across the display. This allows compensating for variations in components without discarding and replacing panels during assembly.

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Display calibration method that improves overall display quality by calibrating both chromaticity and brightness. The calibration involves determining target chromaticity coordinates for each grayscale value, along with the target gamma curve based on those chromaticities. This allows converting displayed grayscale data using the target gamma instead of a fixed gamma. By considering chromaticity as well as brightness, it enables more accurate calibration of display colors and brightness levels.

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Vision-based color correction for mini LED displays to mitigate graininess and maintain picture quality as LEDs degrade over time. The method involves determining per-pixel color correction curves based on the initial and degraded colors of each mini LED. The display is divided into regions based on these curves, and corrections are made within each region. This takes into account visual impact between nearby pixels.

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