DocumentCode :
3357026
Title :
A fractional Fourier transform based method of image fusion
Author :
Gaoli Sang ; Ying Cai ; Hailong Jing ; Shibin Xuan
Author_Institution :
Coll. of Comput. Sci., Sichuan Univ., Chengdu, China
Volume :
2
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
969
Lastpage :
973
Abstract :
In this paper, a new fractional Fourier transform-based image fusion method is proposed. All the source images are decomposed by fractional Fourier transform, and then the fractional order are select adaptively. It has well solved the poor adaptability of previous image fusion methods. The experiments show that this algorithm is particularly effective not only on the general images fusion, but also have a good effect for the infrared and visible images fusion.
Keywords :
Fourier transforms; image fusion; fractional Fourier transform; fractional order; general images fusion; image fusion methods; infrared images fusion; source images; visible images fusion; Educational institutions; Fourier transforms; Genetic algorithms; Image fusion; Information entropy; Signal processing; Adaptive; Fractional Fourier transform; Image fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
Type :
conf
DOI :
10.1109/CISP.2013.6745305
Filename :
6745305
Link To Document :
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