Title :
A new multi-focus image fusion algorithm based on Nonsubsampled Contourlet Transform
Author :
Zhai, Zhonghua ; Sun, Jifeng
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
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.
Keywords :
image fusion; image resolution; wavelet transforms; HVS; NSCT; human visual system; image processing; low-frequency coefficients; maximum-based rule; multifocus image fusion algorithm; multiresolution analysis method; nonsubsampled contourlet transform; region variance; single pixel characteristic; wavelet-based algorithm; Discrete wavelet transforms; Educational institutions; Feature extraction; Filter bank; Image coding; Pixel; NSCT; energy variance; image fusion; objective evaluation criteria; regional variance;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579509