A multifocus image fusion in nonsubsampled contourlet domain with variational fusion strategy

Ning Ma; Limin Luo; Zeming Zhou; Miaoyuan Liang

doi:10.1117/12.902101

2 December 2011 A multifocus image fusion in nonsubsampled contourlet domain with variational fusion strategy

Ning Ma, Limin Luo, Zeming Zhou, Miaoyuan Liang

Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 800411 (2011) https://doi.org/10.1117/12.902101
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

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.

Citation Download Citation

Ning Ma, Limin Luo, Zeming Zhou, and Miaoyuan Liang "A multifocus image fusion in nonsubsampled contourlet domain with variational fusion strategy", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 800411 (2 December 2011); https://doi.org/10.1117/12.902101

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