文献类型：期刊文献

英文题名：Exposure fusion via sparse representation and shiftable complex directional pyramid transform

作者：Wang, Jinhua[1,2];Wang, Weiqiang[1];Li, Bing[3];Xu, Guangmei[2];Zhang, Ruizhe[2];Zhang, Jingzun[2]

第一作者：Wang, Jinhua;王金华

通讯作者：Wang, JH[1];Wang, JH[2]

机构：[1]Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China;[2]Beijing Union Univ, Coll Informat Technol, Beijing 100101, Peoples R China;[3]Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China

第一机构：Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China

通讯机构：[1]corresponding author), Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China;[2]corresponding author), Beijing Union Univ, Coll Informat Technol, Beijing 100101, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

年份：2017

卷号：76

期号：14

起止页码：15755-15775

外文期刊名：MULTIMEDIA TOOLS AND APPLICATIONS

收录：;EI(收录号：20163502748133);Scopus(收录号：2-s2.0-84983450646);WOS:【SCI-EXPANDED(收录号:WOS:000404609900024)】；

基金：This work is partly supported by the National Natural Science Foundation of China (Nos. 61202245, 61271370, 61271369, 61372148, 91420202, and 61370138), the Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges under Beijing Municipality (CIT&TCD20130513), the importation and development of High-Caliber Talents Project of Beijing Municipal Institutions (CIT&TCD20130320), the Beijing Education Commission Science and Technology Project, and Research on Image Recognition of Seal in Chinese Painting and Calligraphy on Multi-features Fusion (KM201311417015).

语种：英文

外文关键词：Exposure fusion; PDTDFB; Sparse representation; Fusion rule

摘要：Sparse code theory with the sliding window technique can be used for the efficient fusion of multi-exposure images. However, when the size of the source images is large, this process requires a significant amount of time. To solve this problem, we propose a method that uses low-frequency sub-images of the source images as the input to the sparse code fusion framework. These low-frequency sub-images (which are far smaller than the entire image) provide a coarse representation of the original image. Regarding multi-scale decomposition, the high redundancy ratio of some methods limits their applicability to image fusion, especially multi-exposure image fusion (usually more than two source images). In this paper, we propose a method that employs a novel shiftable complex directional pyramid with shift-invariance and a low redundancy ratio to obtain the low-and high-frequency sub-images. For the high-frequency sub-image, we introduce a novel fusion rule based on the entropy of the segmented block, allowing more details of the source images to be preserved. Experiments show that our method attains results that are comparable to or better than existing methods.