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A Novel Image Fusion Method Based on FRFT-NSCT
Nonsubsampled Contourlet transform (NSCT) has properties such as multiscale, localization,multidirection, and shift invariance, but only limits the signal analysis to the time frequency domain. Fractional Fourier transform (FRFT) develops the signal analysis to fractional domain, has many superperfo...
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Published in: | Mathematical problems in engineering 2013-01, Vol.2013 (2013), p.1-9 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Nonsubsampled Contourlet transform (NSCT) has properties such as multiscale, localization,multidirection, and shift invariance, but only limits the signal analysis to the time frequency domain. Fractional Fourier transform (FRFT) develops the signal analysis to fractional domain, has many superperformances, but is unable to attribute the signal partial characteristic. A novel image fusion algorithmbased on FRFT and NSCT is proposed and demonstrated in this paper. Firstly, take FRFT on the two sourceimages to obtain fractional domain matrices. Secondly, the NSCT is performed on the aforementionedmatrices to acquire multiscale and multidirection images. Thirdly, take fusion rule for low-frequencysubband coefficients and directional bandpass subband coefficients to get the fused coefficients. Finally, thefused image is obtained by performing the inverse NSCT and inverse FRFT on the combined coefficients. Three modes images and three fusion rules are demonstrated in the proposed algorithm test. The simulationresults show that the proposed fusion approach is better than the methods based on NSCT at the sameparameters. |
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ISSN: | 1024-123X 1563-5147 |
DOI: | 10.1155/2013/408232 |