Image Fusion Based on Shearlet and Multi-Decision

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Abstract:

Image Fusion is an important and useful subject in Image Processing and Computer Vision. The traditional image fusion algorithm could not provide satisfactory fusion results. Aiming to solving this problem, in this paper, we proposed an algorithm based on shearlet and multi-decision. First we discussed the application of the shearlet transform. Then we use difference decision rules for image decomposition high-frequency coefficients. Finally, the fused image is obtained through inverse Shearlet transform. Experimental results show that comparing with traditional image fusion algorithms, the proposed approach can provide more satisfactory fusion outcome.

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Periodical:

Advanced Materials Research (Volumes 889-890)

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1103-1106

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Mao shiyi, Zhao wei. Comments on Multisensor Image Fusion Techniques, JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS. 2002, 28(5).

Google Scholar

[2] Liu Xuesong, Ge Liang, Wang Bin. An unsupervised band selection algorithm for hyperspectral imagery based on maximal information, Journal of Infrared and Millimeter Waves. 2012, 31(2).

DOI: 10.3724/sp.j.1010.2012.00166

Google Scholar

[3] Yang Yanchun, Dang Jianwu, Wang Yangping. A Medical Image Fusion Method Based on Lifting Wavelet Transform and Adaptive PCNN[J], Journal of Computer-Aided Design & Computer Graphics. 2012, 24(4).

Google Scholar

[4] Deng, G. A Generalized Logarithmic Image Processing Model Based on the Gigavision Sensor Model, IEEE Transactions on Image Processing[J]. 2012, 21(3).

DOI: 10.1109/tip.2011.2166970

Google Scholar

[5] Jing Tian, Li Chen. Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure, Signal Processing[J]. 2012, 92(9).

DOI: 10.1016/j.sigpro.2012.01.027

Google Scholar

[6] Robert Houska. The nonexistence of shearlet scaling functions, Applied and computational harmonic analysis[J]. 2012, 32(1).

DOI: 10.1016/j.acha.2011.03.001

Google Scholar

[7] Liu Gui xi, Yang Wan hai. A Wavelet-decomposition-based image fusion scheme and its performance evaluation. Acta automatic sinica. 2002, 28(6), 927-934.

Google Scholar

[8] Yang Xiao-Hui, Jiao Li-Cheng. Fusion Algorithm for Remote Sensing Images Based on Nonsubsampled Contourlet Transform[J]. Acta Automatica Sinica, 2008, 34(3): 274-281.

DOI: 10.3724/sp.j.1004.2008.00274

Google Scholar

[9] P Bremaud. Mathematical principles of signal processing: Fourier and waveletAnalysis[J]. New York, (2002).

Google Scholar

[10] Na yan. Based on the multi-resolution analysis theory of image fusion method[D], Press of Xian university of electronic science and technology. (2007).

Google Scholar