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基于非局部的图像去噪方法的发展现状综述
引用本文:翟栋,丁亚男,李涛. 基于非局部的图像去噪方法的发展现状综述[J]. 电子科技, 2014, 27(1): 160-162
作者姓名:翟栋  丁亚男  李涛
作者单位:(西安电子科技大学 理学院,陕西 西安 710071)
摘    要:通过对图像的相似块做处理从而达到去噪目的,是当前较为新颖的去噪方法,在对国内外利用相似块去噪文献进行理解和分析的基础上,回顾相似块去噪研究的发展,阐明相似块去噪的原理,并总结了相似块去噪的各种方法。最终基于对相似块去噪方法的分析,提出了对其研究方法的展望。

关 键 词:图像去噪  非局部平均  相似块  小波去噪  低秩逼近  

An Overview of Non-local Image Denoising
ZHAI Dong,DING Yanan,LI Tao. An Overview of Non-local Image Denoising[J]. Electronic Science and Technology, 2014, 27(1): 160-162
Authors:ZHAI Dong  DING Yanan  LI Tao
Affiliation:(School of Science,Xidian University,Xi'an 710071,China)
Abstract:Image denoising by non-local means has been well acknowledged as an important approach to image denoising in recent years. This paper presents an overview of sparse model denoising based on Non-local means denoising research and analysis of recent domestic and abroad literatures. To begin with, this paper reviews the development of Non-local means research, then summarizes several methods in procedure of Non-local means denoising, and finally points out the problems and future directions of Non-local means denoising method.
Keywords:image denoising  non-local mean  similar patch  wavelet denoising  low-rank approach
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