DocumentCode :
3007812
Title :
Image Fusion Based on NSCT and Fuzzy Logic
Author :
Ren, Xianyi ; Zheng, Yijun ; Hu, Tao ; Zhang, Jihong
Author_Institution :
Shenzhen Key Lab. of Visual Media Process. & Transm., Shenzhen Inst. of Inf. Technol., Shenzhen, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Nonsubsampled contourlet transform (NSCT) can provide flexible multiresolution, anisotropy, and directional expansion for images. Compared with the original contourlet transform, it is shift-invariant and can overcome the pseudo-gibbs phenomena around singularities. Fuzzy logic is an efficient intelligent method to handle uncertain information. In this paper, a novel image fusion algorithm is proposed based on the NSCT and fuzzy logic. Extensive experiments show that the proposed method can improve subjective and objective results compared to some other fusion approaches.
Keywords :
fuzzy logic; image fusion; image resolution; transforms; NSCT; anisotropy; directional expansion; fuzzy logic; image fusion algorithm; intelligent method; multiresolution; nonsubsampled contourlet transform; original contourlet transform; pseudo-gibbs phenomena; shift-invariant; Algorithm design and analysis; Discrete wavelet transforms; Fuzzy logic; Fuzzy sets; Image fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
Type :
conf
DOI :
10.1109/ICMULT.2010.5631292
Filename :
5631292
Link To Document :
بازگشت