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The improved wavelet transform based image fusion algorithm and the quality assessment

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4 Author(s)
Yijian Pei ; Computer Science Department, Yunnan University, Kunming, China ; Huayu Zhou ; Jiang Yu ; Guanghui Cai

This paper proposes an improved discrete wavelet framework based image fusion algorithm, after studying the principles and characteristics of the discrete wavelet framework. The improvement is the careful consideration of the high frequency subband image region characteristic. The algorithms can efficiently synthesis the useful information of the each source image retrieved from the multi sensor. The multi focus image fusion experiment and medical image fusion experiment can verify that our proposed algorithm has the effectiveness in the image fusion. On the other side, this paper studies the quality assessment of the image fusion, and summarize and quantitatively analysis the performance of algorithms proposed in the paper.

Published in:

Image and Signal Processing (CISP), 2010 3rd International Congress on  (Volume:1 )

Date of Conference:

16-18 Oct. 2010