NDLI: Optimizing the number of decomposition levels for wavelet-based multifocus image fusion

Content Provider	IEEE Xplore Digital Library
Author	Yifeng Niu Lincheng Shen Lizhen Wu Yanlong Bu
Copyright Year	2010
Description	Author affiliation: College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, 410073, China (Yifeng Niu; Lincheng Shen; Lizhen Wu; Yanlong Bu)
Abstract	The performance of wavelet-based multifocus image fusion depends on the number of decomposition levels in the wavelet transform. Too few decomposition levels result in poor spatial quality in the fused images. On the other hand, too many levels induce distortion between the original and the fused images. In general, fusion of images with larger resolution requires a higher number of decomposition levels. In this paper, a multiobjective optimization approach to determine the optimal number of decomposition levels is presented. First the optimization flow of decomposition levels for wavelet-based multifocus image fusion is presented; then the proper evaluation metrics for multifocus image fusion are given, new conditional mutual information is proposed, which can avoid the information overlapping; and finally the algorithm of multiobjective particle swarm optimization using the local best model is designed to search the optimal number of decomposition levels. In the experiments it is found that the optimal decomposition level is not a fixed value, but rather, changes with the characteristics of the original images. The experimental results also show that using the method of multiobjective optimization can effectively obtain the optimal number of decomposition levels.
Starting Page	6351
Ending Page	6356
File Size	1748167
Page Count	6
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image fusion Measurement Wavelet transforms Optimization Entropy PSNR conditional mutual information image fusion wavelet decomposition multiobjective optimization particle swarm optimization
Content Type	Text
Resource Type	Article

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