21 July 2017 A multi-focus color image fusion algorithm based on an adaptive SF-PCNN in NSCT domain
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042021 (2017) https://doi.org/10.1117/12.2281979
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
To improve the results of image fusion, taking multi-focus color image as the research object, a self-adaptive pulse coupled neural network multi-focus color image fusion method is presented, which is based on the nonsubsampled contourlet transform (NSCT). And compute the hue component and saturation component of the fused image by the fused intensity component, and finish the whole fused process of the multi-focus color image. The results show that the proposed image fusion method has a better quality than the fused by the wavelet transform and the nonsubsampled contourlet transform, as the same time the fused results in HSI model is of better quality than that fused in RGB model.
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Fan Huang, Fan Huang, Dongming Zhou, Dongming Zhou, Rencan Nie, Rencan Nie, Kangjian He, Kangjian He, Lili Zhou, Lili Zhou, } "A multi-focus color image fusion algorithm based on an adaptive SF-PCNN in NSCT domain", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042021 (21 July 2017); doi: 10.1117/12.2281979; https://doi.org/10.1117/12.2281979
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