期刊文献+

基于快速CCD位移探测的运动模糊图像的恢复 被引量:5

Restoration of the Image Blurred by Motion Based on High-speed CCD Motion Detection
下载PDF
导出
摘要 提出了一种可以对被任意形式的运动所造成的退化图像进行恢复的方法,给出了理论推导,并建立了一套实现系统。解决了以前的恢复方法存在的只能恢复特定运动形式(如匀速直线运动)的模糊图像的局限性问题。在主CCD曝光的同时,利用低分辨力的黑白快速CCD获得多帧图像,根据这些图像序列来计算位移,然后求得相对运动的瞬时速度,根据理论分析,点扩展函数和瞬时速度有着对应的关系,进而计算出模糊过程的点扩散函数(PSF),并用来RL迭代法来恢复模糊图像。实验结果表明,这种恢复方法对任意运动形式造成的模糊,能够得到较好的恢复效果。 This paper provides a new method to restore the image blurred by any motion and a corresponding system for experiments is established. Previous restoration methods can only be useable when the motion is special, for example, uniform rectilinear motion, which is solved in the paper. During the integral time of prime CCD, a series of images used to compute the displacement, are captured by the low resolution white-black CCD. And then, the instantaneous speed can be computed. From the theoretic analysis, we know that the Point Spread Function (PSF) has corresponding relationship with the instantaneous speed. Then the PSF for restoring the blurred image can be worked out. Finally, the Richard-Lucy (RL) method is used to restore the blurred image. The experiment shows that, for any motion blurred images, this method for image restoration can get preferable results.
出处 《光电工程》 CAS CSCD 北大核心 2009年第3期69-73,共5页 Opto-Electronic Engineering
关键词 数字图像处理 运动模糊恢复 快速CCD 点扩散函数(PSF) 图像序列 digital image processing motion blurred restoration high-speed CCD PSF image sequence
  • 相关文献

参考文献10

  • 1陈喜春,曹峰梅,金伟其.基于极坐标的相向运动图像模糊的递归模型[J].光子学报,2007,36(3):552-556. 被引量:10
  • 2Gonzalez Rafael C, Woods Richard E. Digital Image Processing: 2nd [M]. Beijing: Publishing House of Electronics Industry, 2003. 被引量:1
  • 3MARIUS Tico, MEJDI Trimeche, MARKKU Vehvilainen. Motion Blur Identification Based Qn Differently E~posed Images [C]//IEEE International Conference on Image Processing, Atlanta, GA, Oct 8-11, 2006, 1:;2021-2024. 被引量:1
  • 4YITZHAKY Y, LANTZMAN A, MOR I, et al. Evaluation of the PSF from Motion Blurred Images [J]. Proe. of SPIE, 1997, 3110: 822-831. 被引量:1
  • 5MAYNTZ C, AACH T, KUNZ D. Blur Identification Using a Spectral Inertia Tensor and Spectral Zeros [C]// 1999 International Conference on Image Processing. Kobe, Japan, Oct 24-28, 1999, 2: 885-889. 被引量:1
  • 6HADAR O, DROR I, KOPEIKA N S. Numerical calculation of image motion and vibration modulation transfer fianction-a new method [J]. Proc, of SPIE(S0277-786X), 1991, 1533: 61-74. 被引量:1
  • 7吴冬梅.基于平移不变小波阈值算法的噪声图象估计[J].光子学报,2005,34(2):306-309. 被引量:24
  • 8BOUGUET J Y. Pyramidal implementation of the Lucas Kanade feature tracker Description of the algorithm [EB/OL]. http://sourceforge.net/proj ects/opencvlibrary, 2001-04-11/2008-01-25. 被引量:1
  • 9RICHARDSON W H. Bayesian-Based Iterative Method oflmage Restoration [J]. J. Opt. Soe. Am(S1084-7529), 1972, 62(1): 55-99. 被引量:1
  • 10Bascle B, Blake A, Zisserman A. Motion Deblurring and Super-Resolution from an Image Sequence [C]// Proceedings of the 4th European Conference on Computer Vision, Cambridge UK, April 14-18, 1996, 1996: 573-582. 被引量:1

二级参考文献12

共引文献30

同被引文献50

引证文献5

二级引证文献43

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部