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一种基于小波变换的图像消噪算法 被引量:7

An Image Denoising Method Based on Wavelet Transform
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摘要 该文在自适应树小波萎缩法的基础上,结合小波系数的零树编码思想和小波变换的信噪分离特性给出了一种新的小波消噪算法。该算法不仅减少了运算量,而且在消噪和保留奇异点信息方面也取得了较好的效果。 In this paper, a new method of image denoising is presented ,which is built upon the ideas of Embedded Zerotree Wavelet (EZW) encoder and separate character of signals and noises. This method is not only less than Tree-Adapted Wavelet Shrinkage (TAWS) method in operation amounts but also excellent in image denoising results and reservation of singularity information.
出处 《电子与信息学报》 EI CSCD 北大核心 2007年第1期43-46,共4页 Journal of Electronics & Information Technology
基金 河南省教育厅自然科学基金(2003110004) 河南省高校青年骨干教师基金(2002016) 国家自然科学基金(60272042)资助课题
关键词 图像消噪 零树编码 信噪分离 小波变换 Image denoising Zerotree wavelet encoder Signal noise decomposed Wavelet transform
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参考文献7

  • 1Mallat S and Zhong siren. Characterization of signal from multiscal edges. IEEE Trans. on Pattern Anal. and Machine Intelligence, 1992, 14(7): 710-732.
  • 2Shark L K and Yu C. Denoising by optimal fuzzy thresholding in wavelet domain[J]. IEE Electron. Lett., 2000,36(6): 581-582.
  • 3Geman D and Reynolds G. Constrained restoration and the recovery of discontinuities [J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1992, 14(3): 367-383.
  • 4You Yuli and Kaveh D. Fourth-order partial differential equations for noise removal [J]. IEEE Trans. image Processing, 2000, 9(10): 172-1730.
  • 5Bouman C and Sauer K, A generalized Gaussian image model of edge preserving map estimation[J]. IEEE Trans. Image Processing, 1993, 2(3): 296-310,
  • 6James S. Walker and Ying-Jui Chen. Image denoising tree-based wavelet subband correlations and shrinkage.Optical Engineering, 2000, 39(11): 2900-2908.
  • 7程正兴.小波分析算法与应用[H].西安:西安交通大学出版社.2001,第七章.

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