文献类型：会议论文

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

作者：Jinhua Wang;Songhe Feng;Qingsong Bao

第一作者：王金华

机构：[1]Institute of Information Technology, Beijing Union University, Beijing, China;[2]School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China;[3]Xi'an Communication Institute, Xi'an,China;

第一机构：北京联合大学智慧城市学院

会议论文集：2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)论文集

会议日期：20100824

会议地点：北京

主办单位：中国电子学会;中国仪器仪表学会;中国图象图形学学会

语种：英文

中文关键词：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 un-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 from input images than typical exposure fusion methods.