计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (10): 31-34.

• 学术探讨 • 上一篇    下一篇

图像复原中高斯点扩展函数参数估计算法研究

吕成淮 何小海 陶青川 张敏   

  1. 四川大学电子信息学院 四川大学电子信息学院 南京邮电学院 电子工程系
  • 收稿日期:2006-08-15 修回日期:1900-01-01 出版日期:2007-04-01 发布日期:2007-04-01
  • 通讯作者: 吕成淮

The research on estimation algorithms for Gaussian point spread function parameter in image restoration

ChengHuai Lv   

  • Received:2006-08-15 Revised:1900-01-01 Online:2007-04-01 Published:2007-04-01
  • Contact: ChengHuai Lv

摘要: 在图像的非盲复原算法中,点扩展函数的获取是算法的关键,因而点扩展函数参数估计是图像复原中重要的一步。由于高斯型点扩展函数是许多光学系统和成像模型中最常见的,所以高斯型点扩展函数参数估计算法一直是研究的热点。文中详细论述了三种主要的高斯型点扩展函数参数的估计算法的原理和实现,比较了各种算法的优点和不足之处。最后,文中展望了今后研究的方向,具有重要的实际意义。

关键词: 多项式变换, 点扩展函数, 模糊估计, 小波变换, 李氏指数

Abstract: The acquisition of the point spread function is the key point in non-blind restoration algorithms for image, it’s very important to get the estimation of point spread function parameter. Since the Gaussian function is the most common model in many optical systems and imaging systems, it’s always the hotspot to estimate the parameters for Gaussian point spread function. This paper gives a detailed introduction of principle for three main estimation algorithms for point spread function, and also gives a comparison of the advantage and deficiency among these algorithms. Finally, the paper gives a perspective of the trend for future research.

Key words: polynomial transform, point spread function, blur estimation, wavelet transform, lipschitz exponent