计算机科学 ›› 2007, Vol. 34 ›› Issue (2): 256-257.

• 计算机网络与信息安全 • 上一篇    下一篇

非线性小波变换在图像去噪中的应用

  

  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    重庆市科委资助项目.

  • Online:2018-11-16 Published:2018-11-16

摘要: 本文基于一种非线性小波变换阈值改进法,结合离散正交小波变换系数分解计算和阈值处理,实现二维图像去噪,并用Mallat算法对加噪图像进行了验证。

关键词: 离散正交小波变换 图像去噪 阈值法 Mallat算法

Abstract: This article realizes de-noising 2D image based on a nonlinear wavelet transform threshold improved method, which is combined DWT coefficients decomjposition calculation and threshold processing. And Mallat algorithm is used to de-noise the noisy image.

Key words: Orthogonal wavelet transform, Image de-noising Smoothing, Threshold value method, Mallat algorithm

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