The restoration of aerial images degraded by multiple blurred

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The restoration of aerial images degraded by multiple blurred

Article | 更新时间：2020-08-13

- The restoration of aerial images degraded by multiple blurred
- Optics and Precision Engineering Vol. 17, Issue 5, Pages: 1161-1170(2009)
- 作者机构：
  
  1. 中国科学院研究生院
  2. 长春光学精密机械与物理研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：22 July 2008，
  
  Revised：24 August 2008，
  
  Published Online：25 May 2009，
  
  Published：25 May 2009
- 稿件说明：
移动端阅览
李仕. 航空多重模糊图像恢复算法[J]. 光学精密工程, 2009,17(5):1161-1170

The restoration of aerial images degraded by multiple blurred[J]. Optics and precision engineering, 2009, 17(5): 1161-1170.
李仕. 航空多重模糊图像恢复算法[J]. 光学精密工程, 2009,17(5):1161-1170 DOI：

The restoration of aerial images degraded by multiple blurred[J]. Optics and precision engineering, 2009, 17(5): 1161-1170. DOI：

摘要

提出一种针对多重模糊的图像恢复算法，解决航空成像中多重模糊同时作用时的图像恢复问题。对多重模糊的物理模型进行分析，通过分步去模糊对多重模糊图像进行恢复。对空间不变模糊的点扩散函数进行合并，减少多重模糊恢复过程的计算误差累计，通过一次解卷积运算实现多重空间不变模糊图像的恢复。对包含空间变换模糊的多重模糊在分步恢复过程中所产生的图像误差噪声进行分析，使用维纳滤波对阶段误差噪声进行抑制，使得恢复图像的PSNR值提高7.76dB。实验结果表明基于点扩散函数合并的恢复方法能将多重模糊图像的PSNR值提高到28.09，有效地保障了图像的恢复质量。

Abstract

An algorithm is proposed to restore the images

simultaneously degraded by multiple blurred during aerial imaging. Based on the analysis of the physical model of multiple blurred

the multiple blurred can be restored by restoring the every sub-blurred step by step. To reduce the accumulating of calculation error during the restoration for multiple blurred images

the point spread functions (PSFs) of each space-invariant blur in the multiple blurred are combined by convolving all the linear PSFs together. For that

the multiple blurred made up of the space-invariant blurs can be eliminated by a deconvolution restoration. Through analysis the error noise arising during the image restoration

the Wiener filter is applied to suppress the error noise for the multiple blurred consist of space-variant blur. What’s more

the application of Wiener filter can increase the PSNR of the restored image by 7.76dB. The experiment results show that the PSNR of the image

restored by the proposed algorithm based on the PSFs combination

can reach 28.09 which ensures the restoration quality can be acceptable.

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Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

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