Removing camera shake from a single photograph

被引:1571
|
作者
Fergus, Rob [1 ]
Singh, Barun
Hertzmann, Aaron
Roweis, Sam T.
Freeman, William T.
机构
[1] MIT, CSAIL, Cambridge, MA 02139 USA
[2] Univ Toronto, Toronto, ON, Canada
来源
ACM TRANSACTIONS ON GRAPHICS | 2006年 / 25卷 / 03期
关键词
camera shake; blind image deconvolution; variational learning; natural image statistics;
D O I
10.1145/1141911.1141956
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Camera shake during exposure leads to objectionable image blur and ruins many photographs. Conventional blind deconvolution methods typically assume frequency-domain constraints on images, or overly simplified parametric forms for the motion path during camera shake. Real camera motions can follow convoluted paths, and a spatial domain prior can better maintain visually salient image characteristics. We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation. In order to estimate the blur from the camera shake, the user must specify an image region without saturation effects. We show results for a variety of digital photographs taken from personal photo collections.
引用
收藏
页码:787 / 794
页数:8
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