Abstract
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.
Original language | English (US) |
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Pages (from-to) | 787-794 |
Number of pages | 8 |
Journal | ACM Transactions on Graphics |
Volume | 25 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2006 |
Event | ACM SIGGRAPH 2006 - Boston, MA, United States Duration: Jul 30 2006 → Aug 3 2006 |
Keywords
- Blind image deconvolulion
- Camera shake
- Natural image statistics
- Variational learning
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design