同济大学学报（自然科学版）2024，Vol.52Issue(1)：10-17,8.DOI:10.11908/j.issn.0253-374x.23389
基于多形态学成分分析的图像融合
Image Fusion Based on Multi-morphological Component Analysis
摘要
Abstract
By combining the multi-scale decomposition and sparse representation,an image fusion algorithm based on multi-morphological component analysis(MCA)is proposed in this paper.The fusion method based on joint sparse representation(JSR)is employed to fuse the redundant and complementary information in the cartoon sub-images,and the fusion method based on directional feature is used to fuse the texture sub-images with more detailed information and noise.The results show that the proposed algorithm is superior to the state-of-the-art image fusion methods in subjective visual effects and objective evaluation metrics.关键词
图像融合/多尺度分解/形态学成分分析(MCA)/联合稀疏表示(JSR)Key words
image fusion/multi-scale decomposition/morphological component analysis(MCA)/joint sparse representation(JSR)分类
信息技术与安全科学引用本文复制引用
马晓乐,王志海,胡绍海..基于多形态学成分分析的图像融合[J].同济大学学报（自然科学版）,2024,52(1):10-17,8.基金项目
国家自然科学基金(62202036,62172030) （62202036,62172030）
