Study on the restoration method from motion blurred image

被引：0

作者：

Wang, Wen-Cheng ^{[1
]}

Ji, Zhixiang ^{[1
]}

Guan, Fengnian ^{[1
]}

机构：

[1] School of Information and Control Engineering, Weifang University, Weifang

来源：

Advances in Information Sciences and Service Sciences | 2012年 / 4卷 / 22期

关键词：

Blurred image; Image restoration; Model; Motion blurred; Wiener-filtering;

D O I：

10.4156/AISS.vol4.issue22.78

中图分类号：

学科分类号：

摘要：

Motion blur can always obviously degrade the quality of an image and bring about a lot of inconvenience to people's actual lives. In order to resolve the question of motion blurred image restoration better, a Wiener-filtering-based method is studied in this paper. Firstly, the formation factors of motion-blurred images and the imaging process are analyzed, and the motion blur degradation model is established. Then, the working principle of Wiener filtering is introduced and the steps of blurred image restoration are described in details. Finally, the experiment is designed for testing this validity of this method and the key steps are introduced. The experimental results showed that the method can finish the image restoration form blurred image and the image quality has been improved to some extent, so it can be widely used in traffic, medical imaging, industrial control and detection areas, with important practical significance.

引用

页码：627 / 632

页数：5

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