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运动模糊图像的去卷积方法研究
引用本文:陈以超,洪汉玉,张艳.运动模糊图像的去卷积方法研究[J].武汉化工学院学报,2007,29(1):68-70.
作者姓名:陈以超  洪汉玉  张艳
作者单位:武汉工程大学机械工程学院,湖北武汉430074
基金项目:国家自然科学基金项目(60572040);湖北省教育厅科学技术研究项目(D200615001)
摘    要:针对成像过程中观测图像存在像素灰度信息丢失的情况,在分析此类图像的退化原理及建立其数学模型和离散化表达式的基础上,将最优化方法中的共轭梯度法引入图像复原过程中,提出基于共轭梯度优化迭代的非零背景运动模糊图像去卷积方法.实验表明,该算法复原效果良好,是一种有效的图像复原方法.

关 键 词:运动模糊  模糊函数  去卷积  共轭梯度
文章编号:1004-4736(2007)01-0068-03
修稿时间:2006-07-07

Study for deconvolution method of motion blurred images
CHEN Yi-chao,HONG Han- yu ,ZHANG Yan.Study for deconvolution method of motion blurred images[J].Journal of Wuhan Institute of Chemical Technology,2007,29(1):68-70.
Authors:CHEN Yi-chao  HONG Han- yu  ZHANG Yan
Affiliation:School of Mechanical Engineering, Wuhan Institute of Technology,Wuhan 430074,China
Abstract:On the condition of the missing pixel information of the observed image during the process of imaging, based on the analysis of the degradation principle and establishment of the math model as well as discrete expression, this paper incorporates optimization method into the process of blur image restoration and proposes the deconvolution methods of non - zero background motion blurred image based on conjugate gradient optimization iteration. The experiment indicates that the result restores well with the proposed algorithm and it is a kind of effective method to restore motion blurred images.
Keywords:motion blur  blur function  deconvolution  conjugate gradient
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