Title :
Multi-sensor Image Fusion Algorithm Based on NSCT and PCNN
Author :
Chen Yao ; Kang Lei
Author_Institution :
Inf. Inst., Shenyang Univ., Shenyang, China
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);
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.31
