Motion blurred image restoration based on super-resolution method

被引：0

作者：

Yan, Cheng ^{[1
]}

机构：

[1] Department of computer science and engineering, East China University of Political Science and Law, Shanghai

来源：

International Journal of Digital Content Technology and its Applications | 2012年 / 6卷 / 11期

关键词：

Motion blur; POCS; PSF;

D O I：

10.4156/jdcta.vol6.issue11.29

中图分类号：

学科分类号：

摘要：

Motion blur is a typical and common degradation in surveillance system. The problem of motion estimation based on super resolution reconstruction of multiple images is addressed in this paper. This paper presents a motion projection onto convex set (POCS) algorithm to restore an image from multiple blurred images. The inter and intra pixel shifts are used to compute a joined point spread function (PSF), which determines the project model of the pixels in the moving window in each iteration. Experiments confirm the proposed algorithm outperforms single-image restored algorithms, especially for space-variant motion blurred images.

引用

页码：230 / 236

页数：6

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