Color-Weakness Image Editing With Adaptive Pixel Highlighting
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Solution Overview
Problem
Color-weak individuals face difficulty in distinguishing colors, making it hard for them to effectively edit image data using digital equipment.
Innovation Solution
An image processing apparatus and method that distinguishes pixels corresponding to specific colors within a color space based on the user's type of color weakness, aiding in easy image editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard color display is used for image editing, then normal color vision users can accurately distinguish colors, but color-weak users cannot effectively edit image data
Solution Approach 1:
The system performs preliminary detection of the user's color vision type before image editing begins. By pre-configuring the display to compensate for the user's specific color weakness (red-green, yellow-blue, or total color blindness), the system proactively eliminates the color distinction problem before it affects editing operations
Solution Approach 2:
The display unit dynamically changes color parameters based on the detected color vision type. For red-green color blindness, it adjusts red-green channel ratios; for yellow-blue color blindness, it adjusts yellow-blue channel ratios; for total color blindness, it converts color information to grayscale with enhanced contrast. This parameter adaptation enables color-weak users to distinguish colors that would otherwise be indistinguishable to them
2Reliability
If color display is optimized for color-weak users, then they can distinguish colors better, but the original color information may be altered
Solution Approach 1:
The system introduces an intermediary processing layer between the original color data and the user's perception. This layer applies color space transformation and compensation algorithms that preserve the semantic meaning of colors while adapting them to the user's vision capabilities. The original color information remains intact in the data, but is presented in a compensated form for display
Solution Approach 2:
The system performs reversible parameter transformations on color data. By applying compensation matrices specific to each color vision type, the system modifies color parameters for display while maintaining the ability to recover original colors if needed. This ensures color-weak users perceive accurate color relationships without permanent loss of original color information
Data Source
AI summary
An image processing apparatus according to an aspect of the present disclosure includes an acquisition unit acquiring image data, a display unit displaying the acquired image data, a receiving unit receiving an instruction to edit the image data displayed by the display unit from a user, and an output unit outputting the image data edited according to the instruction by the user. The display unit distinguishably displays pixels corresponding to a specific color within a color space according to a type of color weakness of the user when displaying the image data.


