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Related Experiment Video

Updated: Jan 9, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Low-light color image equalization based on adaptive brightness adjustment.

¹Artificial Intelligence College, Zhejiang Industry & Trade Vocational College, Wenzhou, 325003, China. jxlihaohong@163.com.

Scientific Reports

|December 8, 2025

Summary

This study enhances low-light color images using multi-frame denoising and adaptive gamma correction. The method significantly improves brightness and detail for applications like autonomous driving and security monitoring.

Keywords:

Adaptive adjustment Brightness balance Gamma correction Low-light image

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Area of Science:

Computer Vision
Image Processing

Background:

Low-light color images suffer from dimness and poor detail, limiting applications in security and autonomous driving.
Existing methods struggle with uneven illumination and brightness fluctuations.

Purpose of the Study:

To enhance the quality of low-light color images.
To address issues of dim brightness and uneven local lighting.
To improve image quality for practical applications.

Main Methods:

Employs multi-frame grouping denoising and adaptive gamma correction for brightness unification.
Utilizes blind source separation denoising and Pearson growth curve adjustment.
Incorporates dual-scale adaptive gamma correction for single-frame uneven lighting.

Main Results:

Average brightness increased from 5.03-25.31 to 57.14-80.02.
Information entropy improved from 3.26 to 6.07-8.19.
Processing time for full-size images is 85.06 ms.

Conclusions:

The method effectively resolves brightness fluctuations and local overexposure in low-light images.
Achieved significant improvements in image brightness, detail, and visual fidelity.
Provides a viable solution for low-light image enhancement in critical applications.