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Proceedings Paper

A block-based fusion method with SSIM criterion for multi-focus images
Author(s): Yongcai Guo; Yaqiu Zhang; Dongguo Zhou
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Paper Abstract

Aiming at the block-based fusion methods for multi-focus images, such key problems like finding a suitable block size and overcoming the blocking-artifact often occurs. To address them, we present an intelligent fusion method using particle swarm optimization (PSO) algorithm, which is guided by a structural similarity (SSIM) criterion. In this method, PSO is to fast search for an appropriate block size, while the SSIM is employed as the fitness function in PSO, in order to evaluate the blocking-artifact, thus enabling this method to have a significant improvement in fusion performance. Experimental results show that the proposed method performs better than some classical methods, such as a block-based method similar with ours in fusion rule and multiresolution-based method. Besides, our method preserves more details than others in fused image.

Paper Details

Date Published: 21 August 2014
PDF: 6 pages
Proc. SPIE 9233, International Symposium on Photonics and Optoelectronics 2014, 923305 (21 August 2014); doi: 10.1117/12.2066610
Show Author Affiliations
Yongcai Guo, Chongqing Univ. (China)
Yaqiu Zhang, Chongqing Univ. (China)
Dongguo Zhou, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 9233:
International Symposium on Photonics and Optoelectronics 2014
Zhiping Zhou, Editor(s)

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