Unevenness Correction Data Generation for Display Panels
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Solution Overview
Problem
Display panels with R, G, and B subpixels experience luminance and color unevenness when subpixels are turned on together due to differences in current consumption and voltage drop, leading to color distortion and white balance shifts, even after applying unevenness correction data generated by turning on subpixels separately.
Innovation Solution
An unevenness correction data generation device that includes raster image generation, monochrome shooting, luminance correction data generation, white image creation, color shooting, and color correction data generation to produce correction data for input signals, using monochrome and color cameras to capture images of subpixels turned on at the same gray levels and applying filters to synthesize correction data for luminance and color uniformity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If unevenness correction data is generated by turning on R, G and B subpixels separately, then luminance unevenness can be corrected, but color unevenness and white balance shift occur when subpixels are turned on together
Solution Approach 1:
The correction process is divided into separate stages: first generating luminance correction data by displaying monochrome images of R, G, and B subpixels separately, then generating color correction data by displaying and capturing white images. This segmentation allows each correction type to be optimized independently, resolving the contradiction between luminance uniformity and color accuracy.
Solution Approach 2:
The system performs preliminary luminance correction by separately displaying and capturing R, G, and B monochrome images before generating the final color correction. This preliminary action establishes a foundation for luminance uniformity that is then built upon with color correction, ensuring both luminance and color accuracy are achieved.
2Measurement precision
If a high-resolution color camera is used to capture white images for color correction, then color unevenness can be accurately corrected, but device cost increases
Solution Approach 1:
The imaging function is segmented between a monochrome camera and a color camera: the monochrome camera captures R, G, and B separate images for luminance correction, while the color camera only captures white images for color correction. This segmentation allows the use of a lower-cost monochrome camera for the majority of the correction process, reducing overall device cost while maintaining color correction accuracy.
Solution Approach 2:
The system uses the monochrome camera to capture separate R, G, and B images that serve as proxies for understanding luminance characteristics. These monochrome captures are processed to generate luminance correction data, eliminating the need for a high-resolution color camera to capture all necessary correction information, thus reducing cost.
Data Source
AI summary
An unevenness correction data generation device suppressing the appearance of color unevenness when turning on R, G and B together includes a pattern generation unit causing red, green and blue images, in which display panel subpixels are turned on at the same gray level, to be displayed, a monochrome camera, a control unit generating first red, green and blue luminance correction data based on shooting data of the monochrome camera, a pattern generation unit causing the display panel to display a white image by causing red, green and blue images corrected with the respective luminance correction data to be displayed simultaneously, a color camera shooting the white image in color, and a control unit generating color correction data for correcting color unevenness based on shooting data of the color camera and generates unevenness correction data based on the red, green and blue luminance correction data and the color correction data.