Selective Color Correction for Vision Deficiency Assistance
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Solution Overview
Problem
Existing methods for assisting color vision deficiency compromise image originality and incur high computation costs, particularly when processing high-resolution live-streaming frames with smaller color-conflict regions, as they uniformly shift all image pixels regardless of perceivability.
Innovation Solution
A system and method that selectively recolors image pixels with unperceivable colors using a processor-based approach, involving rescaling, identifying unperceivable colors, and recoloring them within a predefined perceivable color space, while maintaining image quality and reducing computational overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing techniques uniformly shift all image pixels from RGB to LMS color space, then color vision deficiency assistance is provided, but image originality is compromised and computation cost increases
Solution Approach 1:
The patent applies different processing treatments to different regions of the image based on color perceivability. Specifically, only pixels with unperceivable colors are converted from RGB to LMS color space, while pixels with perceivable colors remain in original RGB format, thus preserving image originality in regions that do not require correction.
Solution Approach 2:
Instead of uniformly processing all pixels in the image, the patent selectively processes only those pixels that contain unperceivable colors. This partial action approach converts only the necessary portion of pixels (those with color confusion issues) from RGB to LMS color space, reducing unnecessary computation and preserving originality in unaffected regions.
2Reliability
If existing techniques process all pixels uniformly, then complete color correction is achieved, but computation cost increases for high-resolution images
Solution Approach 1:
The patent implements region-based selective processing where only image regions containing unperceivable colors are processed through color space conversion. This local processing approach significantly reduces the number of pixels requiring computation, thereby improving processing speed for high-resolution images while maintaining correction completeness for affected regions.
Solution Approach 2:
The patent applies partial processing by identifying and correcting only the subset of pixels that contain unperceivable colors, rather than uniformly processing the entire image. This selective approach reduces computational overhead and processing time while ensuring that all color correction needs are met in the affected regions.
3Measurement precision
If all pixels are converted to LMS color space, then color perception accuracy is improved, but image regions with perceivable colors lose originality
Solution Approach 1:
The patent applies color space conversion selectively to specific image regions based on color perceivability assessment. Regions with unperceivable colors are converted to LMS color space to improve color perception accuracy, while regions with perceivable colors remain in original RGB format to preserve color originality.
Solution Approach 2:
The patent performs partial color space conversion only on pixels identified as having unperceivable colors. This selective conversion improves color perception accuracy where needed while avoiding unnecessary conversion in regions where colors are already perceivable, thus preserving original color information in those regions.
Data Source
AI summary
The present invention discloses a system and a method for providing color vision deficiency assistance by selectively recoloring pixels of an image frame including unperceivable colors with perceivable colors in real time. In particular, the present invention provides for rescaling the image frame using a first set of rules. Further, a perceivable color space is selected based on one or more parameters. Furthermore, one or more pixels associated with unperceivable colors are identified using a second set of rules. Yet further, the identified one or more pixels are recolored using the selected perceivable color space and a third set of rules. Finally, a corrected image frame comprising perceivable colors is provided.