JSW 2012 Vol.7(12): 2816-2822 ISSN: 1796-217X
doi: 10.4304//jsw.7.12.2816-2822
doi: 10.4304//jsw.7.12.2816-2822
Image Fusion Method based on Non-Subsampled Contourlet Transform
Hui Liu
School of Science, Jiangxi University of Science and Technology, 341000 Ganzhou, China
Abstract—Considering human visual system and characteristics of images, a novel image fusion strategy is presented for panchromatic high resolution image and multispectral image in non-subsampled contourlet transform (NSCT) domain. The NSCT can give an asymptotic optimal representation of edges and contours in image by virtue of its characteristics of good multiresolution, shiftinvariance, and high directionality. An intensity component addition strategy based on NMF algorithm is introduced into NSCT domain to preserve spatial resolution and color content. Experiments show that the proposed algorithm can not only reduce computational complexities, but achieve better performances than other mentioned techniques both in visual point and statistics compared with the traditional principle component analysis (PCA) method, intensity-hue-saturation (IHS) transform technique, wavelet transform weighted fusion method, corresponding wavelet transform-based fusion method, and contourlet transformbased fusion method.
Index Terms—Image fusion, Non-Subsampled Contourlet Transform, Non-Negative Matrix Factorization.
Abstract—Considering human visual system and characteristics of images, a novel image fusion strategy is presented for panchromatic high resolution image and multispectral image in non-subsampled contourlet transform (NSCT) domain. The NSCT can give an asymptotic optimal representation of edges and contours in image by virtue of its characteristics of good multiresolution, shiftinvariance, and high directionality. An intensity component addition strategy based on NMF algorithm is introduced into NSCT domain to preserve spatial resolution and color content. Experiments show that the proposed algorithm can not only reduce computational complexities, but achieve better performances than other mentioned techniques both in visual point and statistics compared with the traditional principle component analysis (PCA) method, intensity-hue-saturation (IHS) transform technique, wavelet transform weighted fusion method, corresponding wavelet transform-based fusion method, and contourlet transformbased fusion method.
Index Terms—Image fusion, Non-Subsampled Contourlet Transform, Non-Negative Matrix Factorization.
Cite: Hui Liu, "Image Fusion Method based on Non-Subsampled Contourlet Transform," Journal of Software vol. 7, no. 12, pp. 2816-2822, 2012.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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