View source for 18459723. COLORBLIND ASSISTIVE TECHNOLOGY SYSTEM AND METHOD TO IMPROVE IMAGE RENDERING BY GENERATING A COLOR TRANSLATION TABLE FOR COLOR VISION DEFICIENT USERS simplified abstract (Microsoft Technology Licensing, LLC)

=COLORBLIND ASSISTIVE TECHNOLOGY SYSTEM AND METHOD TO IMPROVE IMAGE RENDERING BY GENERATING A COLOR TRANSLATION TABLE FOR COLOR VISION DEFICIENT USERS=


==Organization Name==

[[:Category:Microsoft Technology Licensing, LLC|Microsoft Technology Licensing, LLC]]


[[Category:Microsoft Technology Licensing, LLC]]

==Inventor(s)==

[[:Category:Somasundaram Kumaresan Beerana of Sammamish WA (US)|Somasundaram Kumaresan Beerana of Sammamish WA (US)]][[Category:Somasundaram Kumaresan Beerana of Sammamish WA (US)]]

[[:Category:Ankit Mahajan of Issaquah WA (US)|Ankit Mahajan of Issaquah WA (US)]][[Category:Ankit Mahajan of Issaquah WA (US)]]

==COLORBLIND ASSISTIVE TECHNOLOGY SYSTEM AND METHOD TO IMPROVE IMAGE RENDERING BY GENERATING A COLOR TRANSLATION TABLE FOR COLOR VISION DEFICIENT USERS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18459723 titled 'COLORBLIND ASSISTIVE TECHNOLOGY SYSTEM AND METHOD TO IMPROVE IMAGE RENDERING BY GENERATING A COLOR TRANSLATION TABLE FOR COLOR VISION DEFICIENT USERS

==Simplified Explanation==

The patent application describes systems and methods for creating colorblind-accessible versions of color images. Here is a simplified explanation of the abstract:

* The invention aims to provide colorblind users with a corrected version of a color image that appears similar to the original image.
* A color translation table is generated to correct the pixel values of the image for color vision deficiency (CVD).
* The corrected image is produced based on the determined pixel values, allowing colorblind users to perceive a similar color scheme as the original image.
* The systems can work with previously captured images, real-time video, and can be integrated as an add-on to other applications.

== Potential Applications ==
This technology has potential applications in various fields, including:

* Web and graphic design: Ensuring colorblind users can fully appreciate and understand visual content.
* Medical imaging: Enhancing the accessibility of medical images for colorblind healthcare professionals and patients.
* Education: Facilitating colorblind students' understanding of visual materials in textbooks and presentations.
* Gaming: Enabling colorblind gamers to experience games with accurate color representation.
* User interfaces: Designing inclusive interfaces that cater to colorblind individuals.

== Problems Solved ==
The technology addresses the following problems:

* Limited accessibility for colorblind individuals: Colorblind users often struggle to perceive and interpret color-coded information accurately.
* Lack of color correction options: Existing solutions may not provide accurate or satisfactory color correction for colorblind users.
* Incomplete understanding of colorblindness: The technology helps bridge the gap in understanding and accommodating color vision deficiencies.

== Benefits ==
The technology offers several benefits:

* Improved accessibility: Colorblind individuals can access and comprehend visual content that was previously challenging or inaccessible.
* Accurate color correction: The generated color translation table ensures that the corrected image closely resembles the original image's color scheme.
* Real-time and offline implementation: The systems can be used with previously captured images or in real-time scenarios, providing flexibility in application.
* Integration with existing applications: The technology can be easily integrated as an add-on to various applications, expanding its usability and reach.


==Original Abstract Submitted==

Systems and methods for providing colorblind-accessible versions of a color image by generating a color translation table for color vision deficiency (CVD) corrections are disclosed. For a given image, the pixel values as would be seen by a colorblind user are determined. Using these values, a corrected rendered image that appears to colorblind users as depicting a similar color scheme as the original image is produced and presented to the colorblind user. The proposed systems can be implemented with previously captured image data, real-time video, and as an add-on to other applications.



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