计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (36): 80-81.

• 学术探讨 • 上一篇    下一篇

高斯型点扩展函数估计及图像复原

付 炜,刘志文   

  1. 燕山大学 信息科学与工程学院,河北 秦皇岛 066004
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-12-21 发布日期:2007-12-21
  • 通讯作者: 付 炜

Gaussian point spread function estimation and image restoration

FU Wei,LIU Zhi-wen   

  1. College of Information Science and Engineering,Yanshan University,Qinhuangdao,Heibei 066004,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-12-21 Published:2007-12-21
  • Contact: FU Wei

摘要: 点扩展函数估计是图像复原的重要内容,目前还没有精确估计的算法。根据高斯型点扩展函数曲线的特点,提出了新的高斯型点扩展函数参数的估计方法。分析发现高斯型点扩展函数曲线中,存在着几个特征点,它们很好地表现在降质的图像傅里叶变换图像中,这几个点与扩展函数参数存在着一定的关系。根据这种关系推导出点扩展函数参数,从而达到图像复原的目的。实验结果表明,这种算法简单、精度较高,有一定的参考价值。

关键词: 高斯型点扩展函数, 特征点, 图像复原

Abstract: Point Spread Function(PSF) estimation,an essential part for image restoration,has no accurate estimation algorithm at present.According to the Gaussian point expansion function curve characteristic,a new Gaussian PSF accurate estimation algorithm is put forward.After analyzing in the Gaussian point expansion function curve,there has several points of interest,and good showing in degraded image.These points of interest and spread function parameter have certain relations.According to this kind of relations,the image restoration goal is achieved.The experimental result shows that the proposed algorithm has an accuracy rate,and is of reference value.

Key words: Gaussian point spread function, points of interest, image restoration