山东科学2012，Vol.25Issue(4)：40-44,5.
基于分区的改进维纳滤波图像复原
Partition based image restoration with improved Wiener filtering
摘要
Abstract
Image restoration is a key issue in digital image processing.Image quality will decline due to camera defous,relative motion between a camera and an objective and noise.This paper presents partition based image restoration approach with improved Wiener filtering for the constraint of classical Wiener filtering.The method can not only perform pseudo morph attenuation and noise suppression,but also preserve the edge of an image.We evaluate the signal to noise ratio（SNR） of the peak values of a processed image by the two methods.Experimental results show that the peak SNR of an image processed by improved restoration method is higher than that of an image processed by the classical method.关键词
图像复原/运动模糊/散焦模糊/维纳滤波Key words
image restoration/motion blur/defocus blur/Wiener filtering分类
信息技术与安全科学引用本文复制引用
姜树明,段彩艳,魏志强,刘向阳,余军,刘晓辉,赵亮..基于分区的改进维纳滤波图像复原[J].山东科学,2012,25(4):40-44,5.基金项目
济南市青年科技明星计划 （）
