Image Processing Transform for Color Blind Accessibility
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Solution Overview
Problem
Current image processing methods fail to effectively enhance color fidelity for both color-normal and color-blind observers, particularly for individuals with red-green color blindness, as they either prioritize color-normal vision or independently attempt to bring out details for color-blind individuals without considering the overall image quality for both groups.
Innovation Solution
An image processing method that estimates sensor responses for both normal and anomalous cone sensor sets, optimizing a transform mapping to generate a modified image that simultaneously induces the same responses for both, thereby improving color fidelity and making difficult-to-see information accessible for color-blind observers while maintaining natural image quality for color-normal observers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing methods prioritize color-normal vision, then color fidelity for color-normal observers is improved, but color accessibility for color-blind observers deteriorates
Solution Approach 1:
The image processing method creates a single modified image that serves multiple functions: it maintains color fidelity for color-normal observers while simultaneously improving color accessibility for color-blind observers. This is achieved by optimizing the transform mapping to satisfy both observer types, making the image universally accessible to different visual systems without requiring separate processing pipelines.
Solution Approach 2:
The method changes the parameters of the image transform mapping to optimize for both color-normal and color-blind observers simultaneously. By adjusting the transform parameters based on cone sensor responses and minimizing an objective function that accounts for both observer types, the system achieves improved color accessibility without sacrificing color fidelity for color-normal viewers.
2Adaptability or versatility
If image processing independently enhances details for color-blind individuals, then color accessibility for color-blind observers is improved, but overall image quality for color-normal observers deteriorates
Solution Approach 1:
The method merges the optimization goals for color-normal and color-blind observers into a single unified objective function. Instead of independently processing the image for each observer type, the system combines both requirements into one transform mapping that simultaneously satisfies both constraints, ensuring that enhancements for color-blind observers do not compromise overall image quality.
Solution Approach 2:
The optimization process uses feedback from both color-normal and color-blind cone sensor responses to adjust the transform mapping. By minimizing an objective function that incorporates responses from both observer types, the system iteratively refines the transform to achieve both color accessibility and color fidelity, preventing degradation of image quality for color-normal observers.
3Device complexity
If a single image is displayed for all observers, then device simplicity is maintained, but color fidelity for different observer types cannot be optimized simultaneously
Solution Approach 1:
The single displayed image performs multiple functions by being optimized for both color-normal and color-blind observers simultaneously. The transform mapping is designed to be universal, working effectively for different visual systems without requiring multiple separate images or complex switching mechanisms, thus maintaining device simplicity while achieving optimized color fidelity for all observer types.
Data Source
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AI summary
An image processing method, system and device are disclosed. In the method, sensor responses for an input image are estimated, the sensor responses including sensor responses for cone sensors including a first cone sensor set and a second, different, cone sensor set. In dependence on the sensor responses, a transform mapping for application to a source image is determined to generate a modified image.