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