A Novel Image Fusion Approach Based on Rough Set and Wavelet Analysis

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Abstract:

The goal of image fusion is to combine a high-quality image from multi-image about the same object. The paper presents an image fusion scheme based on wavelet transform and rough set. Firstly, the two images are decomposed by orthogonal wavelet; the image’s wavelet coefficients are got. Comparing with the two image’s wavelet coefficients, wavelet coefficients’ matrix is composed of maximum absolute value, the fused image is obtained by the inverse wavelet transform. The last section of the paper verifies the method by experiment and gets the good experimental results.

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Key Engineering Materials (Volumes 439-440)

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1069-1074

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June 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Xin man, Han Jiu qiang. Image Fusion of Multiscale Contrast Pyramid-Based Vision Feature and Its Performance Evaluation[J]. Journal of XI'AN Jiao Tong University, 2004, 4(38): 380-383. In china.

Google Scholar

[2] J. Dusek, K. Roubik, Testing of new model of the human visual system for image quality evaluation. Proceedings, Seventh International Symposium on Signal Processing and Its Application, 2003, Vol. 2: 621-622.

DOI: 10.1109/isspa.2003.1224956

Google Scholar

[3] Gong Chang lai. A New Wavelet Image Fusion Method Based on Local Energy[J], Laser&Infrared, 2008, 12(38): 1266-1269. In china.

Google Scholar

[4] Luo li, Wang Ke, Wang Jin. Fusion Algorithm of Remote Sensor Images Based on àtrous-Contourlet Tran sform with Gradient Selection[J]. Journal of Image and Graphics, 2008, 13(6): 1128: 1133. In china.

Google Scholar

[5] Xu Kai yu, Li Shuang yi. A Images Fusion Algorithm Based on Wavelet Transform[J]. Infrared Technology, 2007, Vol. 29: 455-458. In china.

Google Scholar

[6] Petrovic V S, Xydeas C S. Gradient-based multiresolution image fusion[J]. IEEE Transactions on ImageProcessing. 2004, 13(2): 228-237.

DOI: 10.1109/tip.2004.823821

Google Scholar

[7] Mallat . S G.A. Wavelet Tour of Signal Processing [M]. San Diego: Academic Press, 1998, 302-310.

Google Scholar