文献类型：会议论文

英文题名：Pyramidal Dual-tree Directional Filter Bank Based Exposure Fusion for Two Complementary Images

作者：Wang, Jinhua[1];Feng, Songhe[2];Bao, Qingsong[3]

第一作者：王金华

通讯作者：Wang, JH[1]

机构：[1]Beijing Union Univ, Inst Informat Technol, Beijing, Peoples R China;[2]Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China;[3]Xian Commun Inst, Xian, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Inst Informat Technol, Beijing, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：IEEE 10th International Conference on Signal Processing

会议日期：OCT 24-28, 2010

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：exposure fusion; high dynamic range image; PDTDFB; multi-scale decomposition

摘要：Currently, most exposure fusion methods are easy to be influenced by the location of object in the image. In order to reduce the influence caused by tin-alignment in the source images, shift-invariance multiscale decomposition can be used to fuse images. However, commonly used shift-invariant decomposition methods have high redundant ratio, which limits their application. So, redundant ratio of decomposition is an important factor, which must be considered for exposure fusion method. In this paper, a novel exposure fusion method is proposed, which is based on a pyramidal dual-tree directional filter bank (PDTDFB) having both shift-invariance and low redundant ratio characteristics. Furthermore, different fusion rules are used for coefficient selection in the lowpass and highpass subimages. Experiments show that the proposed method can extract more important visual information front input images than typical exposure fusion methods.