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30 October 2009 Image fusion algorithm based on adaptive PCNN model
Zhihui Wang, Yong Tie, Shuhua Li
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74952T (2009) https://doi.org/10.1117/12.828486
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
A novel pixel-level image fusion algorithm based on adaptive PCNN model is presented by authors. The algorithm combines the advantages of multiwavelet and PCNN. It is worth mentioning that the algorithm adopts adaptive PCNN model, in which some of the model parameters are determined according to image characteristics or statistical values. The decomposition coefficients of fused image are formed according to the PCNN output number of pulses. The simulation results show that this algorithm is effective. There is a noticeable improvement in the information and visual quality of the fused images.
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Zhihui Wang, Yong Tie, and Shuhua Li "Image fusion algorithm based on adaptive PCNN model", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952T (30 October 2009); https://doi.org/10.1117/12.828486
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KEYWORDS
Image fusion
Neurons
Image processing
Information visualization
Neural networks
Computer simulations
Statistical modeling
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