Pixel Simulation for Color-Vision Deficiency Visibility
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Solution Overview
Problem
Conventional image-processing systems fail to effectively increase the visibility of hidden pixel patterns in images for users with color-vision deficiencies, as they either provide incomplete information through text descriptions or are ineffective in modifying pixel values to enhance visibility.
Innovation Solution
A pixel-simulation application that accesses an initial image, converts pixel values to an intermediate color space, modifies them to simulate alternative colors perceived by users with color-vision deficiencies, and generates a pixel map to create an output image with enhanced visibility of target pixel patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional image transformation algorithms transform pixel values to increase color visibility, then color visibility for users with color-vision deficiencies is improved, but the visibility of complicated pixel patterns remains difficult to describe and convey effectively
Solution Approach 1:
The patent segments the image processing into distinct stages: initial color space representation, transformation to intermediate color space, modification of pixel values to simulate color-vision deficiencies, and generation of pixel maps. This segmentation allows each stage to address specific aspects of the visibility problem while preserving pattern information through structured data representation at each step.
Solution Approach 2:
The patent introduces an intermediate color space as a mediator between the initial color space and the final simulated view. This intermediate representation allows for systematic transformation and modification of pixel values while maintaining the ability to reconstruct and compare patterns, thus preserving information while improving visibility.
2Ease of operation
If text alternatives are provided to describe image content, then accessibility for users with color-vision deficiencies is improved, but effectiveness is lost when images include complicated pixel patterns that are difficult to describe in text
Solution Approach 1:
The patent transitions from one-dimensional text descriptions to two-dimensional visual representations through pixel maps. By transforming the problem into a different dimensional space (from textual to visual), the system preserves complex pattern information that cannot be effectively conveyed through text alone, while still providing accessibility benefits.
3Illumination intensity
If pixel values are modified to simulate colors perceived by users with color-vision deficiencies, then visibility of target pixel patterns is enhanced, but the complexity of the image processing system increases
Solution Approach 1:
The patent systematically changes color space parameters through defined transformations. By using standardized color space models and mathematical transformations, the system manages processing complexity through structured parameter changes rather than ad-hoc modifications, making the complexity tractable and reproducible.
Data Source
AI summary
Methods and systems disclosed herein relate generally to systems and methods for modifying pixel values of an image to improve the visibility of target pixel patterns. A pixel-simulation application accesses an initial image including an initial set of pixel values. The initial set of pixel values define, in an initial color space, a particular color of pixels that indicate a target pixel pattern. The pixel-simulation application generates, based on the initial set of pixel values, a simulated image including a modified set of pixel values that visually indicate another color of pixels in an intermediate color space. The pixel-simulation application generates a pixel map by identifying a difference between the initial set pixel values of the initial image and the modified set of pixel values of simulated image. The pixel-simulation application generates, for display, an output image based at least in part on the pixel map.