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A New Image Gaussian Denoising Algorithm Based on Wiener Filtering
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    Abstract:

    This paper describes the principle of several common image smoothing methods and introduces its shortcomings, and then proposes the new Wiener filtering method of image smoothing. Experimental results show that this method can make up for the defects that the commonly used smoothing filter has in smoothing images polluted by gaussian noise and has obtained good results.

    Reference
    1 Sze CJ, Liao M, Fan KC. A New Image Flux Conduction Model and Its Application to Selective Image Smoothing. IEEE Transactions on Image Pro- cessing, 2001,10(2):296－306.
    2 Tuzikov AV, Sheynin SA. Symmetry Measure Computation for Convex Polyhedra. Journal of Mathe- matical Imaging and Vision, 2002,16(1):41－56.
    3 Jain A.数字图像处理基础.北京:清华大学出版社, 2006.228－233.
    4 陈纯.计算机图像处理技术与算法.北京:清华大学出版社, 2003.75－95.
    5 朱虹,等.数字图像处理基础.北京:科学出版社, 2005.84－100.
    6 Duncan DYP, Do MN. Directional multiscale modeling of images using the contourlet transform. IEEE Trans. Images process, 2006,15(6):1610－1620.
    5 张德丰,张葡青.维纳滤波图像恢复的理论分析与实现.中山大学学报(自然科学版), 2006,45(6):45－47.
    6 Wang LP, Rajapaksej C, Fukushima K. Speckle re- ducetion using Wiener filtering in wavelet do- main. Proc. of the 9th International Conference on Neural Information Processing. Singapore: IEEE Com- puter Society, 2002,(2):792－795.
    7 Wiener Norbert. Extrapolation, interpolation, and smoothing of stationary time series: with engineering applications．Cambridge：Technology Press of Mass. Institute of Technology, 1950．
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    9 孙兆林.MATLAB6X 图像处理.北京:清华大学出版社, 2000.64－228.
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陈乃金,周鸣争,潘冬冬.一种新的维纳滤波图像去高斯噪声算法.计算机系统应用,2010,19(3):111-114

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  • Received:October 09,2009
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Links:Journal of Software中国科学院软件研究所中国计算机学会中国科学院国家自然科学基金委员会
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