Author Affiliations
Abstract
1 School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200030
2 Institute of Aerospace Science and Technology, Shanghai Jiao Tong University, Shanghai 200030
We employ the target detection to improve the performance of the feature-based fusion of infrared and visible dynamic images, which forms a novel fusion scheme. First, the target detection is used to segment the source image sequences into target and background regions. Then, the dual-tree complex wavelet transform (DT-CWT) is proposed to decompose all the source image sequences. Different fusion rules are applied respectively in target and background regions to preserve the target information as much as possible. Real world infrared and visible image sequences are used to validate the performance of the proposed novel scheme. Compared with the previous fusion approaches of image sequences, the improvements of shift invariance, temporal stability and consistency, and computation cost are all ensured.
动态图像融合 特征级融合 目标检测 双树复小波变换（DT-CWT） 100.2000 Digital image processing 100.2980 Image enhancement 100.7410 Wavelets 110.3080 Infrared imaging Chinese Optics Letters
2007, 5(5): 274
