Image Fusion Algorithm in Nonsubsampled Contourlet Domain
Based on Activity Measure and Closed Loop Feedback
Yang Xiao-hui①②,Jia Jian③,Jiao Li-cheng①
①Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi,an 710071, China; ②School of Mathematics and Information Sciences, Henan University, Kaifeng 475004, China; ③Department of Mathematics, Northwest University, Xi,an 710069, China
Abstract：An image fusion algorithm in nonsubsampled Contourlet domain is presented based on Human Visual System (HVS) and source image characteristics. Moreover, the influence on fusion result of decomposition levels and directional decomposition numbers is discussed. Closed Loop Feedback (CLF) is introduced into low-pass subbands to obtain optimal fused weights adaptively. In high-pass subbands, Activity Measure (AM) is defined based on region energy to enhance contrast of fused images and protect detail information of source images. Experiment results show that the proposed fusion technique is robust and the fusion images have ideal clear and continue edges.
2010, Vol. 32 
