顺序结构的运动模糊图像复原技术综述  

Survey on deblurring technology for motion images with sequence structure

作　　者：程姝[1] 赵志刚[1] 吕慧显[2] 潘振宽[1] 郝鑫鑫 

机构地区：[1]青岛大学信息工程学院,山东青岛266071 [2]青岛大学自动化工程学院,山东青岛266071 [3]青岛市环境保护科学研究院,山东青岛266003

出　　处：《计算机应用》2013年第A01期161-165,185,共6页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61170106);山东省自然科学基金资助项目(ZR2010FQ030);山东省科学技术发展计划项目(2012YD01058)

摘　　要：在对目前有关运动模糊图像复原技术的文献进行理解和综合的基础上,首先通过对运动模糊图像复原问题的描述揭示其实质,其中大体介绍图像复原概念、分类;然后将运动模糊图像复原方法分为参数识别和复原滤波两部分进行介绍,描述基于单幅图像、多幅图像的参数识别基本方法,按迭代和非迭代两种思想分类对复原滤波方法进行介绍;通过应用实例对一些主流方法进行对比,最后提出对运动模糊图像复原技术的展望。The objective of motion blur recovery for images is to remove motion blur according to around image information, which can be used to camera shake or fast moving objects. Based on many literatures of motion deblurring technology, this paper attempted to make an overview of motion blur image restoration. First, the paper disclosed motion blur＇ s essence and introduced the concept of image restoration, including classification; and then introduced the motion blurred image restoration methods by two parts of parameter identification and recovery filtering. The first part described image parameter identification methods using single image or multiple images; the second part introduced restoring filtering methods including iterative algorithm and non-iterative algorithm. Finally through the experiment comparison of some main methods, it made conclusions and outlooks for image recovery technology.

关 键 词：图像退化 图像复原 参数辨识 复原滤波 运动模糊 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]