井冈山大学学报（自然科学版）2023，Vol.44Issue(6)：93-100,8.DOI:10.3969/j.issn.1674-8085.2023.06.012
一种多尺度曝光图像融合算法研究
RESEARCH ON MULTI-SCALE EXPOSURE IMAGE FUSION ALGORITHM
摘要
Abstract
Multi-scale exposure image fusion is an effective high-dynamic range(HDR)scene image enhancement technique.In this paper,a novel multi-scale exposure image fusion algorithm is proposed which utilizes weighted guided image filtering(WGIF)to smooth all low-dynamic images range(LDR),weighted mapping Gaussian pyramid,fusion of LDR images with different exposure degrees.The algorithm preserves the details of the brightest and darkest regions in the HDR image scene without changing the relative brightness of the fusion image,and avoids the halo artifact phenomenon.In addition,the evaluation index of exposure quality in the traditional exposure image fusion algorithm is changed from pixel level to image level,which solves the problem that the image brightness after fusion is too uniform and lacks contrast,enhances the information details of the light and dark areas of the image and reduces the image distortion.After fusion,the image can take into account the details retained in the over-exposed image and under-exposed image to restore the details of the real scene to the greatest extent.关键词
多尺度/曝光融合/图像增强/加权引导/HDR图像Key words
multi-scale/exposure image fusion/weighted guided/HDR image分类
计算机与自动化引用本文复制引用
史艳琼,张文亮..一种多尺度曝光图像融合算法研究[J].井冈山大学学报（自然科学版）,2023,44(6):93-100,8.基金项目
安徽省科技重大专项(202203a05020022) （202203a05020022）
安徽建筑大学校引进人才及博士启动基金项目(2019QDZ16) （2019QDZ16）
