光学精密工程2023，Vol.31Issue(24)：3606-3617,12.DOI:10.37188/OPE.20233124.3606
基于双边滤波MSR与AutoMSRCR融合的低光照图像增强
Low-light image enhancement based on the fusion of Bilateral filter MSR and AutoMSRCR
摘要
Abstract
Aiming at the problem that images taken in low-light environments are affected by the strength of illumination,which leads to poor image quality,this study proposes a low-light image enhancement al-gorithm based on the fusion of bilateral filtering MSR and AutoMSRCR.First,the brightness of the origi-nal low-light image is enhanced using the MSR algorithm based on bilateral filtering in HSV color space.As a result,a brightness-enhanced image with the original color information is obtained.Then,the CLA-HE algorithm is used to enhance the details of the brightness channel based on the Lab color space,and a detail-enhanced image is obtained.Finally,the AutoMSRCR algorithm is used to process the original low-light image and perform weighted fusion with the detail-enhanced image to obtain the final enhanced im-age.Using UCIQE,AG,SD,and IE as evaluation indexes,the proposed algorithm outperformed the MSR,MSRCR,CLAHE,and GAMMA algorithms.The results show that the proposed algorithm opti-mized image quality with UCIQE,AG,SD,and IE reaching values of 0.472 1,12.674 2,0.263 2,and 7.637 9,respectively.The obtained image contains more color information,is clearer,the image contrast is natural look,and the edge texture information of the image is more complete.That is,images enhanced by this algorithm are of the highest quality.This study provides a feasible method for low-light image en-hancement.关键词
低光照图像/图像增强/双边滤波/细节增强/加权融合Key words
low light image/image enhancement/bilateral filtering/detail enhancement/weight fusion分类
计算机与自动化引用本文复制引用
顾文娟,丁灿,魏金,阴艳超,刘孝保..基于双边滤波MSR与AutoMSRCR融合的低光照图像增强[J].光学精密工程,2023,31(24):3606-3617,12.基金项目
国家自然科学基金资助项目(No.52065033) （No.52065033）
云南省科技厅重大专项资助项目(No.2022AG050002-4) （No.2022AG050002-4）
