Multifocus Image Fusion Based on Multiresolution Transform and Particle Swarm Optimization

摘要：

　　In order to get an image with every object in focus,an image fusion process is required to fuse the images under different focal settings.In this paper,a novel multifocus image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed.Firstly the source images are decomposed into Iowpass subbands coefficients and highpass subbands coefficients by the oonsubeampled contourlet transform (NSCT).Then,different fusion rules are applied for low and high frequency NSCT coefficients.Finally the fused image is reconstructed by the inverse NSCT transform.The experiment results demonstrate that the proposed method is effective and can provide better performance than the method based on the wavelet transform and the nonsubsampled contourlet transform.

关键词： nonsubsampled contourlet transform particle swarm optimization image fusion

作者: Yushu Liu Mingyan Jiang Chuanzhu Liao

作者单位: School of Information Science and Engineering, Shandong University, Jinan, 250100, China Department of Electronic Engineering, Zhangzhou Institute of Technology,Zhangzhou, 363000, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1466-1469

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）