国防科技大学学报2024，Vol.46Issue(2)：162-173,12.DOI:10.11887/j.cn.202402017
极端曝光图像的多尺度分解细节感知融合算法
Multi-scale decomposition based detail perception fusion algorithm for extreme exposure images
摘要
Abstract
Aiming at the problem of the low dynamic range of extreme exposure images,such as underexposure and overexposure images,a detail perception image fusion algorithm based on multi-scale decomposition was proposed.After detail enhancement,the underexposed image was roughly fused with the overexposed image.Wavelet transform was used to perform multi-scale decomposition on the brightness component of the image after detail enhancement,and a special high-frequency and low-frequency fusion strategy was designed to realize the fine fusion of brightness components.The hue and saturation components of the coarse fusion image were recombined with the brightness components of the fine fusion image to obtain the final fusion result.Based on abundant testing data,the experimental results show that the visual effect of this method is excellent.The index of averaged MEF-SSIM is 0.985 4,and the index of averaged SSIM is 0.650 8,which are superior to the existing mainstream algorithms.关键词
高动态范围/图像融合/多尺度分解Key words
high dynamic range/image fusion/multi-scale decomposition分类
信息技术与安全科学引用本文复制引用
张俊超,黄俊彬,杨德贵,梁步阁,陈溅来,赵党军..极端曝光图像的多尺度分解细节感知融合算法[J].国防科技大学学报,2024,46(2):162-173,12.基金项目
微系统技术重点实验室开发课题基金资助项目(6142804231001) （6142804231001）
国家自然科学基金资助项目(62105372) （62105372）
湖南省自然科学基金资助项目(2021JJ40794) （2021JJ40794）
