Image contrast enhancement method, system, electronic device and storage medium

By separating and enhancing the luminance and chrominance components of an image, and combining high- and low-frequency separation with trilinear interpolation techniques, the problems of high computational complexity and poor visual effects in existing technologies are solved, achieving high-quality image enhancement with low computational complexity.

CN122550432APending Publication Date: 2026-08-11BEIJING JILANG SEMICON TECH CO LTD
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Patent Information

Application Number
CN202610435303.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-03
Publication Date
2026-08-11

AI Technical Summary

Technical Problem

While current image processing technologies reduce computational load, they struggle to preserve visual enhancement effects and image details while avoiding noise and video flickering.

Method used

By separating the luminance and chrominance components from the YUV data of the input image, the luminance component is trained to enhance contrast using an enhancement network model to generate an enhancement coefficient grid. The chrominance component is then processed using chrominance compensation coefficients. High-low frequency separation and trilinear interpolation techniques are employed to generate a full-resolution enhanced image.

Benefits of technology

It significantly reduces computational complexity and computational load, maintains the color accuracy and texture details of the image, avoids color distortion and video flicker, and improves the spatial coherence and temporal stability of the image.

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Abstract

This application provides an image contrast enhancement method, system, electronic device, and storage medium. The method includes: separating luminance and chrominance components from the YUV data of an input image; training the luminance component for contrast enhancement using an enhancement network model to obtain an enhancement coefficient grid for the luminance component and compensation coefficients for the chrominance component; enhancing the luminance component using the enhancement coefficient grid and enhancing the chrominance component using the compensation coefficients; and obtaining an enhanced image based on the enhanced luminance and chrominance components. This application can significantly reduce computational complexity while maintaining contrast enhancement effects, and can also suppress noise and eliminate video flicker.
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