Low-Light Image Enhancement with Contrast Increase and Illumination Smooth

Author:

Leng Hongyue1,Fang Bin1,Zhou Mingliang1ORCID,Wu Bin2,Mao Qin34

Affiliation:

1. College of Computer Science, Chongqing University, Chongqing 400044, P. R. China

2. Aerospace Science and Technology Industry, Microelectronics System Institute Co., Ltd., No. 269, North Section of Hupan Road, Chengdu, Sichuan 610213, P. R. China

3. School of Computer and Information, Qiannan Normal College for Nationalities, Doupengshan Road, Duyun, Guizhou 558000, P. R. China

4. Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun, Guizhou 558000, P. R. China

Abstract

In image enhancement, maintaining the texture and attenuating noise are worth discussing. To address these problems, we propose a low-light image enhancement method with contrast increase and illumination smooth. First, we calculate the maximum map and the minimum map of RGB channels, and then we set maximum map as the initial value for illumination and introduce minimum map to smooth illumination. Second, we use the histogram-equalized version of the input image to construct the weight for the illumination map. Third, we propose an optimization problem to obtain the smooth illumination and refined reflectance. Experimental results show that our method can achieve better performance compared to the state-of-the-art methods.

Funder

Data Center of Management Science, National Natural Science Foundation of China - Peking University

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HDR-YOLO: Adaptive Object Detection in Haze, Dark, and Rain Scenes Based on YOLO;International Journal of Pattern Recognition and Artificial Intelligence;2024-04

2. Improving Person Re-identification Through Low-Light Image Enhancement;Lecture Notes in Computer Science;2024

3. Low-Light Image Enhancement Network based on Gamma Correction and Multi-scale Attention Mechanism;2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC);2023-09-15

4. Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-05-31

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