非盲图像复原综述

肖宿

【期刊名称】《电脑知识与技术》

【年(卷),期】2013(000)007

【摘要】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.%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.

【总页数】3页(1642-1644)

【关键词】图像复原;总变分模型;Bregman迭代;稀疏表示;优化问题

【作者】肖宿