Iterative blind image restoration algorithm based on self deconvolution and increment Wiener filter

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Iterative blind image restoration algorithm based on self deconvolution and increment Wiener filter

Information sciences | 更新时间：2020-08-12

- Iterative blind image restoration algorithm based on self deconvolution and increment Wiener filter
- Optics and Precision Engineering Vol. 19, Issue 12, (2011)
- 作者机构：
  
  中科院光电技术研究所2. 中科院光电技术研究所五室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391;TN911.73
- Received：27 June 2011，
  
  Revised：27 July 2011，
  
  Published Online：06 December 2011，
  
  Published：26 December 2011
- 稿件说明：
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温博,张启衡,张建林. 基于自解卷积和增量Wiener滤波的迭代盲图像复原算法[J]. 光学精密工程, 2011, 19(12): 0-0.

YUN Bo,ZHANG Qi-Heng,ZHANG Jian-Lin. Iterative blind image restoration algorithm based on self deconvolution and increment Wiener filter[J]. Editorial Office of Optics and Precision Engineering, 2011, 19(12): 0-0.
温博,张启衡,张建林. 基于自解卷积和增量Wiener滤波的迭代盲图像复原算法[J]. 光学精密工程, 2011, 19(12): 0-0. DOI：

YUN Bo,ZHANG Qi-Heng,ZHANG Jian-Lin. Iterative blind image restoration algorithm based on self deconvolution and increment Wiener filter[J]. Editorial Office of Optics and Precision Engineering, 2011, 19(12): 0-0. DOI：

摘要

本文提出了一种基于自解卷积和增量Wiener滤波的迭代盲图像复原算法(SDIWF-IBD)。将自解卷积点扩散函数估计法应用于迭代盲目反卷积，可获取准确的点扩散函数频域估计，而在图像估计步中使用增量Wiener滤波，能够确保算法稳定收敛。为进一步控制算法收敛速度，引入内迭代加速方法，有效减少了算法的外部迭代次数。实验结果表明，复原后图像细节明显增加且失真小，算法可快速收敛于较小误差。因此，该算法复原效果良好、收敛快速可控，有利于实时应用。

Abstract

An iterative blind image restoration algorithm based on self-deconvolution and incremental Wiener filter (SDIWF-IBD) is purposed. The self-deconvolution method for PSF estimation is applied to IBD to extract the Fourier estimation of PSF exactly. To keep algorithm convergence steady

incremental Wiener filter is used in image estimation step of IBD. Furthermore

in-iterative acceleration is suggested to control the speed of algorithm convergence and reduce total external iteration. Experimental results indicate that

more detail is recovered in restoration image with few distortions

and algorithm converges to a small error quickly. So

the SDIWF-IBD algorithm has good restoration ability in fast and controllable convergency speed

which is fit for application in real-time.

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Realization of iterative blind image restoration by self deconvolution and increment Wiener filter

Related Author

WEN Bo

ZHANG Qi-heng

ZHANG Jian-lin

Related Institution

Institute of Optics and Electronics, Chinese Academy of Sciences

Graduate University of Chinese Academy of Sciences

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