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Removing camera shake from a single photograph

ACM Transactions on Graphics · 2006 · Vol. 25(3) · pp. 787–794
Rob FergusBarun SinghAaron HertzmannSam T. RoweisWilliam T. Freeman

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.

Advanced Image Processing TechniquesImage Processing Techniques and ApplicationsAdvanced Vision and ImagingShakeComputer visionArtificial intelligenceCamera auto-calibrationComputer scienceMotion blurPhotographyDeconvolutionDigital cameraBlind deconvolution
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1,834
FWCI
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33
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References
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Machine Learning · 1999 · 3,730 citations
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Neural Computation · 1994 · 1,219 citations
An iterative technique for the rectification of observed distributions
The Astronomical Journal · 1974 · 3,737 citations
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