Image brightness evaluation method and device, readable storage medium and electronic equipment

By estimating and adaptively adjusting the brightness weights of pixels in an image, a brightness evaluation map is generated, which solves the problem that existing brightness evaluation methods cannot adapt to local spectral changes and achieves a more accurate brightness evaluation effect.

CN122243849APending Publication Date: 2026-06-19XG TECHNOLOGIES PTE LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XG TECHNOLOGIES PTE LTD
Filing Date
2026-03-27
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing brightness assessment methods cannot adapt to local spectral variations in images caused by differences in lighting and the reflective properties of object surfaces. As a result, brightness maps cannot accurately reflect the distribution of light and dark areas in a scene and cannot meet the needs of image processing.

Method used

By estimating the brightness weights of pixels in the original image, an adaptive set of brightness weights is generated. The brightness values ​​are then adjusted based on local features to generate a brightness evaluation map.

🎯Benefits of technology

It achieves adaptive adjustment of the brightness weight of each color component of a pixel based on the local brightness characteristics of each pixel's location in the image. The brightness evaluation map more accurately reflects the scene's brightness distribution as perceived by the human eye, meeting the high-accuracy brightness evaluation requirements in various image processing scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

This disclosure provides an image brightness evaluation method, apparatus, readable storage medium, and electronic device. The method includes: acquiring an original image to be evaluated for brightness; estimating the brightness weights of each pixel in the original image to obtain a brightness weight set corresponding to each pixel; for any pixel in the original image, weighting and summing the color components contained in a first target region where the pixel is located based on the brightness weight set corresponding to the pixel to obtain the brightness value corresponding to the pixel; and generating a brightness evaluation map corresponding to the original image based on the brightness values ​​corresponding to each pixel in the original image. This method adaptively adjusts the brightness weights of each color component of the pixel, and the resulting brightness evaluation map can accurately reflect the scene brightness distribution perceived by the human eye, thus helping to provide more accurate brightness evaluation data.
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