20240087099.COLOR ENHANCEMENT ALGORITHM FOR COLOR-DEFICIENT PEOPLE simplified abstract (apple inc.)

From WikiPatents
Jump to navigation Jump to search

COLOR ENHANCEMENT ALGORITHM FOR COLOR-DEFICIENT PEOPLE

Organization Name

apple inc.

Inventor(s)

Honkai Tam of Cupertino CA (US)

COLOR ENHANCEMENT ALGORITHM FOR COLOR-DEFICIENT PEOPLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240087099 titled 'COLOR ENHANCEMENT ALGORITHM FOR COLOR-DEFICIENT PEOPLE

Simplified Explanation

The abstract describes an electronic device that can adjust color components of an image based on a classification determined by the processing circuitry.

  • The electronic device includes a display and processing circuitry.
  • The processing circuitry receives source image data with color components for each pixel.
  • Color components consist of a maximum, middle, and minimum color component.
  • The processing circuitry determines a classification for each pixel based on the color components.
  • Adjusted image data is generated by modifying the color components based on the classification.

Potential Applications

This technology could be applied in various fields such as image processing, graphic design, and photography to enhance color accuracy and quality.

Problems Solved

This innovation helps in improving image quality by adjusting color components based on a classification, leading to more visually appealing and accurate images.

Benefits

The benefits of this technology include enhanced color accuracy, improved image quality, and better visual representation in various applications.

Potential Commercial Applications

With its ability to enhance image quality and color accuracy, this technology could be valuable in industries such as advertising, printing, and digital media production.

Possible Prior Art

One possible prior art could be image processing software that allows for color correction and adjustment based on predefined algorithms or user input.

What are the potential limitations of this technology in real-world applications?

One potential limitation of this technology in real-world applications could be the processing power required to analyze and adjust color components for each pixel in real-time, especially for high-resolution images or videos.

How does this technology compare to existing image processing techniques?

This technology offers a more automated and intelligent approach to adjusting color components based on a classification, potentially leading to more accurate and visually appealing results compared to traditional manual color correction methods.


Original Abstract Submitted

an electronic device includes a display and processing circuitry that is communicatively coupled to the display. the processing circuitry is configured to receive source image data indicative of color components for a pixel of the source image data. the color components include a maximum color component, a middle color component, and a minimum color component. the processing circuitry is also configured to determine a classification for the pixel based at least in part on the color component and to generate adjusted image data by modifying one or more of the color components based at least in part on the classification.