Multifocus Image Fusion Based on Multiresolution Transform and Particle Swarm Optimization

DOI

10.2991/iccia.2012.363How to use a DOI?

Keywords

nonsubsampled contourlet transform, particle swarm optimization, image fusion

Abstract

In order to get an image with every object in focus, an image fusion process is required to fuse the images under different focal settings. In this paper, a novel multifocus image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly the source images are decomposed into lowpass subbands coefficients and highpass subbands coefficients by the nonsubsampled contourlet transform (NSCT). Then, different fusion rules are applied for low and high frequency NSCT coefficients. Finally the fused image is reconstructed by the inverse NSCT transform. The experiment results demonstrate that the proposed method is effective and can provide better performance than the method based on the wavelet transform and the nonsubsampled contourlet transform.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yushu Liu
AU  - Mingyan Jiang
AU  - Chuanzhu Liao
PY  - 2014/05
DA  - 2014/05
TI  - Multifocus Image Fusion Based on Multiresolution Transform and Particle Swarm Optimization
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1466
EP  - 1469
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.363
DO  - 10.2991/iccia.2012.363
ID  - Liu2014/05
ER  -