Restoration of motion-blurred images

LI Shi; SUN Hui; ZHANG Bao

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Restoration of motion-blurred images

更新时间：2020-08-12

- Restoration of motion-blurred images
- Optics and Precision Engineering Vol. 15, Issue 5, Pages: 767-772(2007)
- 作者机构：
  
  1. 中国科学院研究生院北京,100039
  2. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：22 November 2006，
  
  Revised：14 April 2007，
  
  Published Online：30 May 2007，
  
  Published：30 May 2007
- 稿件说明：
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LI Shi, SUN Hui, ZHANG Bao. Restoration of motion-blurred images[J]. Optics and precision engineering, 2007, 15(5): 767-772.
DOI：

LI Shi, SUN Hui, ZHANG Bao. Restoration of motion-blurred images[J]. Optics and precision engineering, 2007, 15(5): 767-772. DOI：

摘要

提出了一种新的处理运动模糊图像的方法

以一维维纳滤波(1DWF)来快速恢复二维的模糊图像。给出了1DWF算法可行性的理论论证

并给出了1DWF算法及其它常用图像恢复算法的实验结果和对比评价。运算量分析表明:1DWF算法的运算量只有二维维纳滤波运算量的1/3;实验结果显示:在P4 3.0G主频的PC机上

1DWF算法可以使得512×512的8位灰度测试图像在36 ms内完成图像恢复。对图像恢复质量的评价结果显示:1DWF算法的图像恢复质量与原维纳滤波的恢复效果相同

验证了在单处理器上实时、高质恢复模糊图像的可行性。

Abstract

A new algorithm based on one-dimensional Wiener Filter (1DWF) is proposed to restore the image degraded in a deterministic way by motion-blurred and in a stochastic way by additive white noise. From the theoretical derivation of the new algorithm

this paper shows that it is possible to restore the two-dimensional images with 1 DWF

and the computational requirements of the 1DWF method are just one third of the old Wiener filter's. The experiment result of the 1DWF method shows that 1DWF can restore test images

512×512 size and quantized in 8 bits

in 36 ms with Intel Pentium 4 3.0 GHz CPU. It means that the 1DWF method can reach speeds of restoration in 25 frames per second just with one CPU. And the experiment result also reveals that the quali ty of the images restored is no noticeable difference between the 1DWF method and the old Wiener filter.

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LI Shi

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Related Institution

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

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Graduate University of Chinese Academy of Sciences

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