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Proceedings Paper

A multifocus image fusion in nonsubsampled contourlet domain with variational fusion strategy
Author(s): Ning Ma; Limin Luo; Zeming Zhou; Miaoyuan Liang
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Paper Abstract

Based on the variational idea, we propose a new fusion strategy for nonsubsampled contourlet transform (NSCT). For NSCT bandpass subband coefficients of input images, we take the main component of coefficients as the target and then build an extremum problem for energy functional to find the closest to the target one as the fused coefficient. We apply the gradient descent flow to minimize the functional and give the numerical scheme. The experimental results show that the proposed strategy outperforms state-of-the-art image fusion strategies for NSCT in terms of both visual quality and objective evaluation criteria.

Paper Details

Date Published: 2 December 2011
PDF: 8 pages
Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 800411 (2 December 2011); doi: 10.1117/12.902101
Show Author Affiliations
Ning Ma, PLA Univ. of Science and Technology (China)
Southeast Univ. (China)
Limin Luo, Southeast Univ. (China)
Zeming Zhou, PLA Univ. of Science and Technology (China)
Miaoyuan Liang, PLA Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8004:
MIPPR 2011: Pattern Recognition and Computer Vision
Jonathan Roberts; Jie Ma, Editor(s)

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