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
Abstract
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.
郑中杰, 李展.
浅析图像模糊的基本频域恢复算法[J]. 电脑与电信. 2015(3): 85-88
Zheng Zhongjie, Li Zhan.
Analysis of Basic Restoration to Deblured Images in Frequency Domai[J]. Computer & Telecommunication. 2015(3): 85-88
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}