Pyramidal Dual-tree Directional Filter Bank Based Exposure Fusion for Two Complementary Images

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.

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

作者: Jinhua Wang Songhe Feng Qingsong Bao

作者单位: Institute of Information Technology, Beijing Union University, Beijing, China School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China Xian Communication Institute, Xian,China

会议类型: 国际会议

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

会议地点: 北京

会议语种:英文

页码: 1082-1085

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）