18327403. Automatic Image Treatment Suggestions Based on Color Analysis simplified abstract (Apple Inc.)

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Automatic Image Treatment Suggestions Based on Color Analysis

Organization Name

Apple Inc.

Inventor(s)

Piotr J. Stanczyk of San Francisco CA (US)

Etienne Guerard of Cupertino CA (US)

Automatic Image Treatment Suggestions Based on Color Analysis - A simplified explanation of the abstract

This abstract first appeared for US patent application 18327403 titled 'Automatic Image Treatment Suggestions Based on Color Analysis

Simplified Explanation

The patent application describes a method of image processing that involves analyzing the pixels of an image and suggesting a treatment for the image based on the analysis. The analysis includes obtaining a segmentation map for the image, performing a histogram analysis on the pixels, and determining the median luminance value and dominant hues for the background pixels of the image.

  • The method involves obtaining a first image and a segmentation map for the image.
  • A histogram analysis is performed on the pixels of the image, taking into account the segmentation values.
  • The analysis determines the median luminance value for the background pixels of the image.
  • The analysis also determines one or more dominant hues for the background pixels of the image.
  • Based on the determined median luminance value and dominant hues, a treatment is suggested for the image.

Potential applications of this technology:

  • Image editing software could use this method to automatically suggest adjustments or enhancements for images based on their background characteristics.
  • Photography apps could utilize this method to provide recommendations for improving the composition or lighting of photos.
  • Online platforms or social media sites could incorporate this method to offer automated image enhancement options to users.

Problems solved by this technology:

  • This method eliminates the need for manual analysis and adjustment of images, saving time and effort for users.
  • It provides a more objective and consistent approach to image processing, reducing the subjectivity of human judgment.
  • The method can help improve the overall quality and aesthetics of images by suggesting appropriate treatments based on background characteristics.

Benefits of this technology:

  • Users can quickly and easily enhance their images without requiring extensive knowledge or expertise in image processing.
  • The method can help achieve more visually appealing and professional-looking images.
  • It offers a convenient and automated solution for image enhancement, making it accessible to a wide range of users.


Original Abstract Submitted

A method of image processing is disclosed herein, the method comprising: obtaining a first image comprising a first plurality of pixels; obtaining a first segmentation map for the first image, wherein the first segmentation map comprises a first plurality of segmentation values; performing a histogram analysis on the first plurality of pixels, wherein the histogram analysis is weighted based on each pixel's corresponding segmentation value in the first segmentation map, and wherein the histogram analysis comprises determining at least: (a) a median luminance value for pixels that are estimated (e.g., based on their segmentation values) to be part of the background of the first image; and (b) one or more dominant hues for pixels estimated to be part of the background of the first image; and suggesting a first image treatment for the first image based on the determined median luminance value and/or the determined one or more dominant hues.

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