Display Drive Circuit Adjusting Sub-pixel Tone for Colorblind Viewers
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Solution Overview
Problem
Colorblind individuals face difficulties in distinguishing certain colors due to the absence or mutation of cone cells in their retinas, leading to challenges in recognizing red, green, and blue colors, which existing technologies have not adequately addressed, resulting in image distortion and poor color recognition.
Innovation Solution
A method for driving a display device that adjusts the tone and saturation of sub-pixels in an image using specific equations (H1 = H0 + ΔH and S1 = S0 + ΔS) based on a two-color blind simulation model, ensuring colors undistinguishable to colorblind viewers are differentiated, while maintaining image fidelity and reducing computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed by rotating H component of each sub-pixel, then color distinction for colorblind viewers is improved, but image distortion occurs
Solution Approach 1:
The patent changes the processing parameters from rotating H component to adjusting L* and a* values in LAB color space. Specifically, it modifies the lightness (L*) and green-red opponent channel (a*) parameters while keeping the blue-yellow channel (b*) unchanged, thereby improving color distinction without causing image distortion
Solution Approach 2:
The patent introduces LAB color space as an intermediary transformation between the original RGB color space and the display color space. This intermediary space allows for selective adjustment of color parameters that are problematic for colorblind viewers while preserving the overall image structure and avoiding distortion
2Measurement precision
If color adjustment is applied to help colorblind viewers, then color recognition is improved, but computational complexity increases
Solution Approach 1:
The patent extracts and processes only the specific color parameters (L* and a*) that are most critical for colorblind viewers, rather than processing all color components. This selective extraction reduces computational complexity while maintaining improved color recognition
Solution Approach 2:
The patent applies different processing strategies to different color channels: L* and a* channels are adjusted to improve color distinction, while b* channel remains unchanged. This localized processing approach reduces overall computational complexity by focusing resources only where needed
Data Source
Figure 1~2

AI summary
The present disclosure provides a method for driving a display, including: step 1, obtaining a tone of each sub-pixels in an input image; step 2, determining whether a color of each sub-pixel to be calculated in the input image is capable of being distinguished from a reference color by a two-color blind viewer; and step 3, calculating the tone of each sub-pixel in an output image based on a result of the determination in step 2.