Display Color Remapping for Color Vision Deficiency
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Solution Overview
Problem
Users with color vision deficiency face difficulty in discerning between colors in displayed content, leading to challenges in perceiving the colors present in images or video content.
Innovation Solution
Image processing techniques that modify image data to enhance color differentiation for users with color vision deficiency by adjusting color components based on user-specific settings, utilizing sliders to alter the appearance of colors within specific regions of a color wheel, maintaining hue similarity to the original image while improving discernibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image data is modified to enhance color differentiation for users with color vision deficiency, then color discernibility is improved, but the original color appearance and hue similarity may be compromised
Solution Approach 1:
The patent applies different modification strategies to different color components (red, green, blue) based on the specific color deficiency type. For example, for protanopia, the red component is replaced using a specific transformation matrix, while for deuteranopia, the green component is modified differently. This localized approach allows optimization for color discernibility while preserving original hue characteristics as much as possible.
Solution Approach 2:
The patent transforms color data by changing parameters such as RGB values to alternative color spaces (LMS, XYZ) and back, applying transformation matrices specific to the type of color deficiency. This parameter transformation enables the same image to be displayed with enhanced color differentiation for users with color vision deficiency while maintaining visual fidelity to the original image.
2Difficulty of detecting and measuring
If color components are adjusted to improve visibility for color-deficient users, then color distinction is enhanced, but the saturation levels and color intensity may be altered
Solution Approach 1:
The patent incorporates user input to determine the specific type of color deficiency (protanopia, deuteranopia, or tritanopia) and applies corresponding transformation matrices. This feedback mechanism ensures that the color adjustment is optimized for the user's specific deficiency type, enhancing color distinction while attempting to preserve saturation levels through targeted modifications rather than global changes.
Solution Approach 2:
Instead of uniformly modifying all color components, the patent applies partial modifications only to the specific color channels that cause confusion for the user's deficiency type. For example, in protanopia, only the red component is transformed, while green and blue remain relatively unchanged. This partial action approach enhances color distinction in problematic areas while preserving saturation in unaffected areas.
Data Source
AI summary
An electronic device includes a display and processing circuitry that is communicatively coupled to the display. The processing circuitry is configured to receive source image data indicative of color components for a pixel of the source image data. The color components include a maximum color component, a middle color component, and a minimum color component. The processing circuitry is also configured to determine a classification for the pixel based at least in part on the color component and to generate adjusted image data by modifying one or more of the color components based at least in part on the classification.


