计算机与现代化

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一种新的针对星空图像的模糊复原方法

  

  1. 西安电子科技大学物理与光电工程学院,陕西西安710071
  • 收稿日期:2014-08-18 出版日期:2014-11-27 发布日期:2014-12-10
  • 作者简介: 李晨曦(1990-),男,安徽芜湖人,西安电子科技大学物理与光电工程学院硕士研究生,研究方向:数字图像处理和智能手机星空拍摄模式开发; 苏来利(1989-),男,湖北襄阳人,硕士研究生,研究方向:数字图像处理; 高鹰(1991-),男,陕西安康人,硕士研究生,研究方向:光电成像及图像处理。
  • 基金资助:
     华为创新研究计划(IRP-2013-06-07)

A New Blurred Restoration Algorithm for Star Image

  1. School of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710071, China
  • Received:2014-08-18 Online:2014-11-27 Published:2014-12-10

摘要: 在拍照过程中,针对相机和星空场景的相对运动而导致的图像模糊问题,提出一种新的针对星空图像的运动模糊复原算法。首先采用一种改进的细化算法得到星空图像的星点运动轨迹,从而提取出星空运动模糊图像的模糊核,然后基于Richardson-Lucy的复原算法对模糊图像进行复原。实验结果表明,本文提出的利用细化算法得到模糊核的方法复杂度低、耗时少且准确性高,对星空图像的运动模糊具有很好的复原效果。

关键词:  , 运动模糊图像复原; 细化; Richardson-Lucy复原

Abstract: For the problem of motion-blur by the relative motion between the camera and the star scene during taking pictures, a new motion-blurred restoration algorithm for the star image is proposed. An improved thinning algorithm is used to obtain the star point trajectory, so as to extract the blur kernel of the motion-blurred star image. Then the motion-blurred image is restored based on the restoration algorithm of Richardson-Lucy. Experimental results show that the proposed method of using thinning algorithm to get the blur kernel is of low complexity, less time-consuming as well as high accuracy, which has a good restoration effect on the motion-blurred star image.

Key words:  motion-blurred image restoration, thinning, Richardson-Lucy restoration