计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (34): 168-173.

• 图形、图像、模式识别 • 上一篇    下一篇

多尺度几何分析的图像去噪方法综述

李 彦,汪胜前,邓承志   

  1. 南昌工程学院 信息工程学院,南昌 330099
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-12-01 发布日期:2011-12-01

Overview on image denoising based on multi-scale geometric analysis

LI Yan,WANG Shengqian,DENG Chengzhi   

  1. School of Information Engineering,Nanchang Institute of Technology,Nanchang 330099,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-12-01 Published:2011-12-01

摘要: 小波图像去噪已经成为图像去噪中应用最广泛的经典方法,而随之出现的多尺度变换去噪方法也已是当前图像去噪研究的一个热点。在对目前图像去噪的现状以及小波去噪总体概括的基础上,简要介绍了多尺度几何分析的产生和发展,进一步详细分析和总结了基于多尺度变换的图像去噪方法。基于对小波去噪以及多尺度变换图像去噪问题的理解,提出了对多尺度变换图像去噪方法的一些展望。

关键词: 图像去噪, 小波去噪, 多尺度变换, 阈值

Abstract: Wavelet image denoising has become the most widely classical method in image denoising area,and the concomitant emergence of multi-scale denoising method makes it as a hot spot in the current method of image denoising.This paper gives a overall summary on the current status of image denoising and wavelet denoising,also gives a brief description of the multi-scale geometric analysis and its development.And further more,it takes the detailed analysis and summary of image denoising methods based on multi-scale transform.Based on the understanding of the wavelet transform denoising and multi-scale image denoising,it puts forward on some prospects in the multi-scale image denoising.

Key words: image denoising, wavelet denoising, multi-scale transform, thresholding