Parameter identification of the point spread function in noisy and blur images

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Parameter identification of the point spread function in noisy and blur images

Article | 更新时间：2020-08-12

- Parameter identification of the point spread function in noisy and blur images
- Optics and Precision Engineering Vol. 17, Issue 11, Pages: 2849-2856(2009)
- 作者机构：
  
  哈尔滨工业大学物理系
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：04 November 2008，
  
  Revised：05 December 2008，
  
  Published Online：25 November 2009，
  
  Published：25 November 2009
- 稿件说明：
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许元男,赵远,刘丽萍,孙秀冬. 含噪声模糊图像的点扩展函数参数辨识[J]. 光学精密工程, 2009,17(11):2849-2856

Parameter identification of the point spread function in noisy and blur images[J]. Optics and precision engineering, 2009, 17(11): 2849-2856.
许元男,赵远,刘丽萍,孙秀冬. 含噪声模糊图像的点扩展函数参数辨识[J]. 光学精密工程, 2009,17(11):2849-2856 DOI：

Parameter identification of the point spread function in noisy and blur images[J]. Optics and precision engineering, 2009, 17(11): 2849-2856. DOI：

摘要

针对运动模糊和散焦模糊，提出了一种基于双谱的对含有噪声的模糊图像点扩展函数参数辨识的方法。首先计算出一幅标准测试图像经模糊后的双谱，之后通过曲线拟合出双谱中的统计特性与模糊尺度之间的函数关系，由此训练出的BP神经网络可以完成对其它含有噪声的模糊图像的点扩展函数的参数辨识。实验结果表明，本方法适用于含有噪声的一定模糊参数范围内的散焦模糊和运动模糊图像，在信噪比为25dB的情况下，辨别出模糊尺度的偏差不超过0.5个像素。

Abstract

For motion blur and defocus blur

we propose a robust bispectrum-based method to estimate the blurred parameters in noisy images. At first we calculate the bispectrum of a standard test image. Then we use curve fitting to get the function relations between statistics characteristic in bispectrum and degraded parameters. Finally

the BP neural network

which is trained by the aforementioned function relations

can accomplish the blurred parameters recognition in other noisy image. The experimental results show our method is effective in certain ranges. When SNR is 25dB，the tolerance of blurred parameters recognized is less than 0.5 pixel.

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