DocumentCode
3106844
Title
Multi-sensor Image Fusion Algorithm Based on NSCT and PCNN
Author
Chen Yao ; Kang Lei
Author_Institution
Inf. Inst., Shenyang Univ., Shenyang, China
fYear
2010
fDate
26-28 Sept. 2010
Firstpage
105
Lastpage
108
Abstract
An important branch of information fusion of multi-sensor image fusion technology has become one of the hot researches. In order to better realize, this paper presents a new algorithm which is based on NSCT and PCNN fusion. First, the image is decomposed using NSCT, and then select the integration algorithm using PCNN coefficient, resulting in higher quality of fused image. Experimental results show that this is a good method of fusion effects. It makes some details more clearly evident when compared with the original clear images.
Keywords
image fusion; neural nets; transforms; image decomposition; image fusion quality; integration algorithm; multisensor image fusion algorithm; nonsubsampled contourlet transform; pulse coupled neural network; Artificial neural networks; Brain modeling; Clocks; Image fusion; Neurons; Pixel; Transforms; Image fusion; NSCT(Nonsubsampled Contourlet Transform) PCNN (Pulse Coupled Neural Network);
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-8785-1
Type
conf
DOI
10.1109/CASoN.2010.31
Filename
5636869
Link To Document