电脑知识与技术
電腦知識與技術
전뇌지식여기술
COMPUTER KNOWLEDGE AND TECHNOLOGY
2013年
7期
1642-1644
,共3页
图像复原%总变分模型%Bregman迭代%稀疏表示%优化问题
圖像複原%總變分模型%Bregman迭代%稀疏錶示%優化問題
도상복원%총변분모형%Bregman질대%희소표시%우화문제
image restoration%total variation model%Bregman iteration%sparse representation%optimization problems
作为目前图像处理领域的研究重点,图像复原可移除图像中的模糊与噪声,具有重要的理论价值和广阔的应用前景.为使图像复原的研究被人们所了解,该文首先对图像复原做了简单的描述,接着介绍了近年来出现的一些非盲图像复原算法,包括基于总变分模型的算法、基于Bregman迭代的算法和基于稀疏表示的算法等,最后基于对现有算法的了解与分析,总结了图像复原研究的难点与趋势.
作為目前圖像處理領域的研究重點,圖像複原可移除圖像中的模糊與譟聲,具有重要的理論價值和廣闊的應用前景.為使圖像複原的研究被人們所瞭解,該文首先對圖像複原做瞭簡單的描述,接著介紹瞭近年來齣現的一些非盲圖像複原算法,包括基于總變分模型的算法、基于Bregman迭代的算法和基于稀疏錶示的算法等,最後基于對現有算法的瞭解與分析,總結瞭圖像複原研究的難點與趨勢.
작위목전도상처리영역적연구중점,도상복원가이제도상중적모호여조성,구유중요적이론개치화엄활적응용전경.위사도상복원적연구피인문소료해,해문수선대도상복원주료간단적묘술,접착개소료근년래출현적일사비맹도상복원산법,포괄기우총변분모형적산법、기우Bregman질대적산법화기우희소표시적산법등,최후기우대현유산법적료해여분석,총결료도상복원연구적난점여추세.
As the key content in the field of image processing, image restoration can remove the blurs and noises in images, which makes it posses important theoretical values and broad application prospects. In order to be known by people, a brief description of image restoration is firstly given by this paper. Then including TV based algorithm, Bregman iteration based algorithm and sparse representation based algorithm, some latest non-blind image restoration algorithms are introduced. Based on the knowl?edge and analysis of the existing algorithms, the difficulties and trends of image restoration are summarized in the last section.
