高斯模糊噪声图像的图像复原算法的改进  

IMPROVING IMAGE RESTORATION ALGORITHM FOR IMAGE WITH GAUSSIAN BLUR NOISE

作　　者：厉丹[1,2] 钱建生[1] 芦楠楠[1] 田隽[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221008 [2]中国矿业大学徐海学院,江苏徐州221008

出　　处：《计算机应用与软件》2010年第10期13-16,共4页Computer Applications and Software

基　　金：国家自然科学基金项目(70533050)

摘　　要：和魏纳滤波,约束最小二乘滤波器等复原方法相比,Lucy-Richardson算法不需要事先预知噪声信息,有更广泛的适用性,但Lucy-Richardson算法极易引起噪声放大的缺点。提出改进的Lucy-Richardson图像盲复原新算法,仿真结果表明,该算法在噪声抑制、稳定性、细节保存以及视觉效果方面都优于原有Lucy-Richardson算法。Compared with Wiener Filter and Constrained Least Square Filter,Lucy-Richardson algorithm has wider applicability because c no need to know the noise information beforehand.But it also brings disadvantage of magnifying the noise.The paper puts forward a new im proved method of blind image restoration.According to the simulative experiment,the results show that the new algorithm outperforms the ol Lucy-Richardson algorithm in noise restraint,stability,details preservation and visual effect.

关 键 词：Lucy-Richardson 复原 滤波 高斯模糊 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]