计算机应用与软件Issue(5)：191-196,6.DOI:10.3969/j.issn.1000-386x.2014.05.049
一种噪声无关的图像复原算法研究
RESEARCH ON A NOISE-INDEPENDENT IMAGE RESTORATION ALGORITHM
摘要
Abstract
In order to solve the problem of manifest degradation in image quality while accessing to digital images,it is urgently need an image restoration technique to reconstruct the image.Under the condition of the point spread function is known,we get rid of the traditional progress of calculating the gain matrix relying on noise,through this and proceeding from restoring the gain matrix,we make the restored image more approaching the original image.The new method rectifies in recursion process the phenomenon of either larger or smaller in gain filtering so that the errors generated caused by lack of noise information are reduced.Moreover,the new algorithm has lower time complex than other iterative algorithms.Experimental result shows that the new method can effectively guarantee the quality of the restored image and raises the efficiency as well.关键词
卡尔曼滤波/增益矩阵/噪声估计/迭代算法/噪声Key words
Kalman filter/Gain matrix/Noise estimation/Iterative algorithm/Noise分类
信息技术与安全科学引用本文复制引用
杨梅,吕学强,马信龙,施水才..一种噪声无关的图像复原算法研究[J].计算机应用与软件,2014,(5):191-196,6.基金项目
国家自然科学基金项目（61171159）；国家科技支撑计划课题（2011BAH11B03）；北京市教委科技发展计划项目（201211232023）。 （）
