浅析图像模糊的基本频域恢复算法  

Analysis of Basic Restoration to Deblured Images in Frequency Domain

作　　者：郑中杰[1] 李展[2] 

机构地区：[1]广东石油化工学院,广东茂名525000 [2]暨南大学信息科学技术学院,广东广州510632

出　　处：《电脑与电信》2015年第3期85-88,共4页Computer & Telecommunication

摘　　要：图像频域恢复是数字图像去模糊的一个重要的研究方向,在现实生活中有着广阔的应用前景和市场。本文针对常见的高斯模糊进行分析,使用频域上的逆滤波器、维纳滤波器和最小二乘恢复去除模糊,并对比它们的恢复效果。Image restoration in frequency-domain is an important research direction in image deblurring, which has widespread applications and marketing space in real life. This research focuses on analyzing common Gaussian blur. To eliminate it, inverse filtering, Wiener filtering and least square filtering in frequency domain are used. And last, comparison is made through experiments.

关 键 词：图像恢复 高斯模糊 频域恢复 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]