Presented at SIGGRAPH 2006, Boston
Computer Science and Artificial Intelligence Lab (CSAIL)
Massachusetts Institute of Technology
and
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.
PDF version of our SIGGRAPH paper (10MB) Download Adobe Acrobat Reader 7 |
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New: PDF of slides for 1 hour presentation (28MB) Shorted Powerpoint slides from SIGGRAPH presentation (59MB) Videos from the presentation: Slow motion, pt.1 (wmv, 4.3MB), Slow motion, pt.2 (wmv, 10.5MB) Camera Trajectory (avi, 4.9MB), Normal speed (wmv, 4.6MB) |
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Last update: Aug 3, 2006. Thanks for Ce Liu for the page format.