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Proceedings Paper

A multi-focus color image fusion algorithm based on an adaptive SF-PCNN in NSCT domain
Author(s): Fan Huang; Dongming Zhou; Rencan Nie; Kangjian He; Lili Zhou
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Paper 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.

Paper Details

Date Published: 21 July 2017
PDF: 6 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042021 (21 July 2017);
Show Author Affiliations
Fan Huang, Yunnan Univ. (China)
Dongming Zhou, Yunnan Univ. (China)
Rencan Nie, Yunnan Univ. (China)
Kangjian He, Yunnan Univ. (China)
Lili Zhou, Yunnan Univ. (China)

Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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