Restoration of Turbulence-Degraded Images Based on RL Algorithm with Total Variation Regularization

赵剡; 张怡; 许东

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Restoration of Turbulence-Degraded Images Based on RL Algorithm with Total Variation Regularization

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- Restoration of Turbulence-Degraded Images Based on RL Algorithm with Total Variation Regularization
- 基于总变分规整化的湍流退化图像复原RL算法
- Issue 1, Pages: 69-73(2007)
- 作者机构：
  
  北京航空航天大学仪器科学与光电工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
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赵剡, 张怡, 许东. Restoration of Turbulence-Degraded Images Based on RL Algorithm with Total Variation Regularization[J]. 2007, (1): 69-73.
DOI：

赵剡, 张怡, 许东. Restoration of Turbulence-Degraded Images Based on RL Algorithm with Total Variation Regularization[J]. 2007, (1): 69-73. DOI：

摘要

根据RL(Richardson-Lucy)不需要点扩散函数尺寸先验信息的优点和湍流退化模式的特点

将RL图像复原算法应用到气动光学效应退化图像的复原中.针对RL算法极易引起噪声放大和过度平滑的缺点

提出了基于总变分最小化的RL图像盲复原算法.仿真结果表明

该算法在噪声抑制和细节保存方面都优于非规整化的RL算法.

Abstract

According to the characters of the turbulence-degraded images.Richardson-Lucy(RL) algorithm was introduced to restore aero-optics degraded images.RL algorithm is totally blind

and it does not need the information about the size of the Point-Spread Function(PSF).However this method tends to amplify the noise and result in excessive smoothing.Here

the RL algorithm with a regularizing constraint based on total variation was proposed.The simulation results show that this method can effectively remove the noise and preserve the edges of the image.

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references

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