摘要
图像复原技术是图像处理技术中的关键研究内容。由于相机散焦、相机与目标相对运动和噪声等诸多因素的影响,图像质量有所下降。本文针对经典维纳滤波复原方法存在的局限性,提出一种基于分区的改进维纳滤波复原方法。在视觉效果上,该方法不仅可以很好地削弱伪像和抑制噪声,而且能够保持图像边缘。对使用经典方法及改进方法的复原的图像进行进行峰值信噪比评价,结果表明改进方法的峰值信噪比较传统方法有所提高。
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.
出处
《山东科学》
CAS
2012年第4期40-44,共5页
Shandong Science
基金
济南市青年科技明星计划(20110107)
关键词
图像复原
运动模糊
散焦模糊
维纳滤波
image restoration
motion blur
defocus blur
Wiener filtering
