• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (6): 68-67.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

基于第二代Bandelet变换的彩色图像去噪算法

杨居义   

  1. ( 绵阳职业技术学院计算机科学系,四川 绵阳 621000)
  • 收稿日期:2009-09-13 修回日期:2009-12-10 出版日期:2010-06-01 发布日期:2010-06-01
  • 通讯作者: 杨居义 E-mail:yangjuyi591218@163.com
  • 作者简介:杨居义(1959),男,重庆人,高级工程师,研究方向为小波理论及应用、智能控制理论及应用。

A Denoising Algorithm for Color Images Based on the Second Generation Bandelet Transform

YANG Juyi   

  1. (Department of Computer Science,Mianyang Institute of Vocational Technology,Mianyang 621000,China)
  • Received:2009-09-13 Revised:2009-12-10 Online:2010-06-01 Published:2010-06-01

摘要:

针对目前最新发展的Bandelet变换的特点,本文提出了基于第二代Bandelet变换的彩色图像去噪算法,充分利用彩色图像内在的几何正则性,自适应获得彩色图像的最优表示,通过噪声强度设置阈值,并利用软阈值函数实现彩色图像去噪。通过MATLAB实验结果表明,使用该算法去噪后的彩色图像,无论在主观视觉效果上还是客观质量指标上都比小波和第一代Bandelet算法有显著提高。

关键词: 第二代Bandelet变换, 彩色图像去噪, 小波变换, 算法, 自适应

Abstract:

In this paper,we propose a color image denoising algorithm based on the second generation Bandelet transform to aim at the latest development of the characteristics of the Bandelet transform. The algorithm takes full advantage of the inherent geometry regularity of color images, gets the optimization expression, sets the threshold using noise intensity, and realizes color image denoising using the softthreshold function. The experimental results in the MATLAB tool show that the color image processed by this algorithm improves more effectively than wavelet and the first generation Bandelet algorithm both in subjective visual and objective quality targets.

Key words: second generation Bandelet transform;color image denoising;wavelet transform;algorithm, adaptive

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