The Research on Multiscale Image Fusion Based on the Dualtree Complex Wavelet

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Abstract:

In order to effectively ease and solve fusion effect and the contradiction of the algorithm complexity, this paper puts forward a fusion rule on rapid extraction of multi-scale fusion coefficient, this fusion rules first used in the source image multi-scale decomposition of the scale fusion is the extraction of coefficient based on the neighborhood the fusion of window way, the low frequency of the improved neighborhood entropy to extract matching measure (that is, between the input image similarity degree), high frequency with the cross scale neighborhood gradient to extract matching measure, and gives the fusion coefficient formula. Because of the wavelet transform has moved degeneration, this paper puts forward the application of double tree after wavelet transform to do image multi-scale decomposition.

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600-604

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] LIU bin, Peng jia xong, Image Fusion Method Based on Wavelet Transform and Block Segment[J], Computer Engineering 2005,5(31):41-46

Google Scholar

[2] Hill E Canagarajah N, Bull D. Image Fusion Using Complex Wavelets,Proceedings of the British Machine Conference. Cardiff, UK: [s. n.], 2002: 487-496.

DOI: 10.5244/c.16.47

Google Scholar

[3] ZHANG yu jin, Image processing and analysis(Image Engineering)[M],BeiJing, Tsinghua University Press 1999.3

Google Scholar

[4] ZHU Ya-chao, LI Wen-feng The Improved Method of Wavelet Energy[J], Journal of Wuhan University of Technology, 2005,Vol.27,No.1,70-73.

Google Scholar

[5] LUO Li, WANG Ke , WANG Jin, Fusion Algorithm of Remote Sensor Images Based on àtrous-Contourlet Transform with Gradient Selection[J],Journal of Image and Graphics, 2008 , Vol.13, No.6,1128-1133.

Google Scholar

[6] LI Guang-xin, WANG Ke ,ZHANG Li-bao, Computationally Efficient Algorithm of Multiresolution Image Fusion with Weighted Average Fusion Rule[J],Journal of Image and Graphics, 2005.12 1529-1536

Google Scholar