北京航空航天大学学报 ›› 2005, Vol. 31 ›› Issue (03): 321-325.

• 论文 • 上一篇    下一篇

基于双谱重构的图像降噪

蒋宏, 吴立疆   

  1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100083
  • 收稿日期:2003-07-01 发布日期:2010-11-22
  • 作者简介:蒋 宏(1967-),女,四川达州人,副教授, hongj6704@yahoo.com.cn.

Novel image denoising algorithm based on bispectral reconstruction

Jiang Hong, Wu Lijiang   

  1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2003-07-01 Published:2010-11-22

摘要: 提出了一种基于双谱重构的图像去噪方法.该方法的基本理论依据是:高阶统计量对高斯噪声的不敏感性.它首先计算图像的高阶谱,而得到的高阶谱中理论上将不再包含高斯噪声,然后再通过高阶谱重构图像的幅值和相位信息,最后还原至空间域而得到去噪后的图像.它是高阶谱域的变换与重构方法.仿真结果和分析表明,该双谱重构法较好地解决了去除噪声与保留细节之间的矛盾,无论从直观视觉和从定量分析结果,该双谱重构法都优于中值滤波法和高阶累积量方法.

Abstract: A novel image denoising algorithm based on the bi-spectral reconstruction was proposed. The basic idea of this new algorithm was:higher order statistics was not sensitive to the Gaussian noise. First of all, this new algorithm would calculate the higher order spectrum of the image, and theoretically this higher order spectrum would not include the Gaussian noise any more. Secondly, it would reconstruct the amplitude and phase information of this processed image by the higher order spectrum. Finally, it would get the denoised image by transforming to the spatial domain. This new algorithm was the algorithm of transformation and reconstruction in higher order spectrum. Simulation results and analysis indicate that this new algorithm could solve the contradiction between reducing noise and reserving the image detail so that in views of both visual quality and quantitative analysis, the new algorithm is better than the median-value filtering algorithm and the higher order cumulant algorithm.

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发