30 October 2009 Image fusion algorithm based on adaptive PCNN model
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhihui Wang, Yong Tie, 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); doi: 10.1117/12.828486; https://doi.org/10.1117/12.828486
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