一种维纳滤波图像复原算法的k值快速估计  

A Fast k Value Estimation in the Wiener Filter Algorithm of Motion Blurred Image Restoration

作　　者：杜苗苗[1] 杨灿美[1] 

机构地区：[1]中国科学技术大学电子科学技术系,安徽合肥230026

出　　处：《微电子学与计算机》2015年第8期45-47,53,共4页Microelectronics & Computer

摘　　要：当前对于运动模糊图像的复原技术受到越来越广泛的应用,在硬件上的实现逐渐成为一种趋势.对此从性价比的角度讨论了维纳滤波算法中的关键因素,针对k值的估计提出来一种新的高效循环算法.实验表明该算法能快速、准确地找到最佳k值,图像复原效果好,为硬件实现打下基础.The restoration technology of the motion blurred image is more and more widely used nowadays,and its implementation on hardware is becoming the tendency.The key factors of the Wiener filter algorithm from the angle of cost-effective was discussed,and a new loop algorithm of high-efficiency was proposed to estimate the k values.Massive experiments demonstrate that this algorithm can find the kvalue for the best recovery effect much faster and more accurate,which lays the foundation for the hardware realization.

关 键 词：图像复原 维纳滤波 k值估计 循环算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]