20240087181.IMAGE PROCESSING USING COLOR VISION DEFICIENCY COMPENSATION simplified abstract (nvidia corporation)
Contents
- 1 IMAGE PROCESSING USING COLOR VISION DEFICIENCY COMPENSATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING USING COLOR VISION DEFICIENCY COMPENSATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
IMAGE PROCESSING USING COLOR VISION DEFICIENCY COMPENSATION
Organization Name
Inventor(s)
Johan Pontus Andersson of Lund (SE)
[[:Category:Tomas Akenine-m�ller of Lund (SE)|Tomas Akenine-m�ller of Lund (SE)]][[Category:Tomas Akenine-m�ller of Lund (SE)]]
IMAGE PROCESSING USING COLOR VISION DEFICIENCY COMPENSATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240087181 titled 'IMAGE PROCESSING USING COLOR VISION DEFICIENCY COMPENSATION
Simplified Explanation
The technology disclosed in this patent application involves using a transformation curve to modify colors of images so that those images are more easily viewed by persons with a color vision deficiency (CVD). The transformation curve is applied to spectral versions of images in which each pixel has a spectral representation to modify the spectral versions of the images. A spectral version of an image is modified by, for each pixel of the spectral version of the image, modifying intensities of one or more wavelengths by applying the one or more wavelengths to the transformation curve, which transforms the intensities from source wavelengths to destination wavelengths. The modified spectral version of the image is then modified to a modified version of the image in a color space, such as the RGB color space.
- Using a transformation curve to modify colors of images for persons with color vision deficiency.
- Applying the transformation curve to spectral versions of images to adjust intensities of wavelengths.
- Transforming intensities from source wavelengths to destination wavelengths in the modification process.
Potential Applications
This technology can be applied in various fields such as:
- Medical imaging
- Graphic design
- Photography
- Accessibility tools for digital content
Problems Solved
This technology addresses the following issues:
- Difficulty for persons with color vision deficiency to view images accurately
- Lack of efficient tools to modify colors of images for better visibility
- Limited accessibility to digital content for individuals with color vision deficiency
Benefits
The benefits of this technology include:
- Improved visibility and understanding of images for individuals with color vision deficiency
- Enhanced user experience for a wider range of audience
- Increased inclusivity in design and digital content creation
Potential Commercial Applications
The potential commercial applications of this technology include:
- Developing software tools for color modification in images
- Integration into graphic design software for accessibility features
- Licensing the technology to companies in the medical imaging industry
Possible Prior Art
One possible prior art related to this technology is the use of color filters or adjustments in image editing software to enhance visibility for individuals with color vision deficiency.
What are the specific wavelengths that are commonly modified in the transformation process?
In the transformation process, specific wavelengths are modified based on the transformation curve to improve color visibility for individuals with color vision deficiency. These wavelengths are typically adjusted to align with the destination wavelengths for better perception.
How does the transformation curve algorithm determine the intensity adjustments for different wavelengths?
The transformation curve algorithm calculates the intensity adjustments for different wavelengths by analyzing the spectral representations of pixels in the image and mapping them to the destination wavelengths. This process ensures that the modified colors are optimized for improved visibility and clarity.
Original Abstract Submitted
the technology disclosed herein involves using a transformation curve to modify colors of images so that those images are more easily viewed by persons with a color vision deficiency (cvd). the transformation curve is applied to spectral versions of images in which each pixel has a spectral representation to modify the spectral versions of the images. a spectral version of an image is modified by, for each pixel of the spectral version of the image, modifying intensities of one or more wavelengths by applying the one or more wavelengths to the transformation curve, which transforms the intensities from source wavelengths to destination wavelengths. the modified spectral version of the image is then modified to a modified version of the image in a color space, such as the rgb color space.
