A New Multi-focus Image Fusion Algorithm Based On Nonsubsampled Contourlet Transform

摘要：

In this paper, a new multi-focus image fusion algorithm based on the Nonsubsampled Contourlet Transform (NSCT) is proposed. As a more effective multi-resolution analysis method, NSCT can give a better performance in image processing than the existing methods. Because Human Visual system(HVS) can only be sensitivity to regional characteristic rather than single pixel characteristic, region variance maximum-based rule and region energy- maximum-based rule are employed to obtain high-frequency and low-frequency coefficients. In the experiments, we compared this strategy with wavelet-based algorithm and contourlet transform -based algorithm. Experimental results show that the fused result based on NSCT can achieve a better performance than the other algorithm.

关键词： NSCT image fusion regional variance energy variance objective evaluation criteria

作者: Zhonghua Zhai Jifeng Sun

作者单位: School of Electronic and Information EngineeringSouth China University of TechnologyGuangzhou, China School of Electronic and Information Engineering South China University of Technology Guangzhou, Chi

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）