期刊文献+

基于自适应提升小波收缩阈值图像去噪算法 被引量:1

Denoise Image Algorithm by Adaptive Wavelet Transform Based on Lifting Scheme
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摘要 提出了一种自适应提升小波收缩阈值去噪方法,改进了提升算法中预测算子的计算方法,在更新算子中引入了自适应,最后在阈值处理方面使用了实践证明效果比较好的收缩阈值,仿真证明,经去噪后,图像在性能指标上有一定的提高,图像的细节能够很好地保持。 This paper develops algorithm adaptive wavelet transform based on the lifting scheme. The method is applied to the signal denoise by the contract threshold, and it improves the calculating method of predictor;matches a desired signal by adaptive criteria. The numerical experiment shows that the method is efficiency. The advantages of lifting scheme rests on its flexible designed.
出处 《中国民航学院学报》 2005年第3期42-45,共4页 Journal of Civil Aviation University of China
基金 中国民用航空总局教育教学研究基金(03-3-08).
关键词 小波变换 去噪 阈值 自适应 提升算法 wavelet transform denoise threshold adaptive lifting scheme
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参考文献5

  • 1Sweldens W. The lifting scheme:a construction of second generation wavelets[J]. SlAM Journal Mathematical Analysis, 1997,29(2):511-546.
  • 2Daubechies l,Wim Sweldens. Factoring wavelet transforms into lifting steps[J]. Journal of Fourier Analysis and Application, 1998,4(3):245-267.
  • 3Stoer J,Bulirsh R. Introduction to Numerical Anaylsis[M]. New York :Springer-Berlage Inc, 1998.
  • 4Claypoole R ,Davis G. Nonlinear wavelet transforms for image coding via lifting [A]. In:Proceedings of 31st A Silomar Conference on Signals,Systems and Computers[C]. PacificGrove:1997.662-667.
  • 5胡昌华 张军波 夏军.基于MATLAB的系统分析与设计—小波分析[M].西安:电子科技大学出版社,2000..

共引文献10

同被引文献11

  • 1王勇,吕扬生.基于提升小波变换的无损医学图像压缩[J].信号处理,2004,20(4):423-426. 被引量:6
  • 2李玲玲,丁明跃,周成平,彭晓明,张天序.一种基于提升小波变换的快速图像融合方法[J].小型微型计算机系统,2005,26(4):667-670. 被引量:28
  • 3Claypooler R,Baraniuk R G,Nowak R D.Adaptive wavelet transforms via lifting[R].Houston,Texas:Department of Electrical and Computer Engineering,1999.
  • 4JPEG.JPEG 2000 Final Committee Draft Version 1.0.2000[S].http://www.jpeg.org.
  • 5Andra K,Chakrabarti C,Acharya T.A VLSI architecture for lifting-based forward and inverse wavelet transform[J].IEEE Transactions on Signal Processing,2002,50(4):966-977.
  • 6Steplen J,Zielinski T P.Signal denoising using line-adaptive lifting wavelet[C].Budapest,Hungary:IEEE Instrumentation and Measurement Technology Conference,2001.1386-1391.
  • 7Wu P C,Chen L G.An efficient architecture for two-dimensional discrete wavelet transform[J].IEEE Transactions on Circuit Syst Video Technology,2001,11(4):536-545.
  • 8Claypoole R L,Baraniukm R G,Nowark R D.Adaptive wavelet transform via lifting scheme[C].Phoenix,USA:Proc IEEE Conf on Acoustics,Speech and Signal Processing,1998.1513-1518.
  • 9朱大培,徐永安,杨钦,陶海燕,陈其明.基于STEP标准的数据交换的研究与实现[J].计算机工程与设计,2001,22(4):5-8. 被引量:18
  • 10周宁,汤晓军,孙飞,徐维朴.提升小波快速算法及其在JPEG2000中的应用[J].中国有线电视,2002(18):6-10. 被引量:5

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