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This research aims to improve image quality in low-light color images by addressing brightness and lighting issues.

December 9, 2025Scientific ReportsOpen Access

Low-light color image equalization based on adaptive brightness adjustment

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This research aims to improve image quality in low-light color images by addressing brightness and lighting issues.
Utilized multi-frame grouping denoising for noise reduction
Employed adaptive gamma correction to adjust brightness
Implemented blind source separation for further denoising
Conducted comparative experiments with various low-light images
Evaluated performance based on brightness, information entropy, and image fidelity.
Average brightness improved from 5.03-25.31 to 57.14-80.02
Information entropy increased from 3.26 to 7.05-8.19
Image processing time was 2.47-2.55 seconds
In images with uneven lighting, the average gradient rose from 12.74 to 25.32-27.12
Visual information fidelity reached 0.89-0.93.

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Comparative experiments raise image quality in low-light conditions, indicating enhanced brightness and fidelity.

Haohong Li (2025) studied this question.

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