Removing camera shake from a single photograph
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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.
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The record
- Venue
- ACM Transactions on Graphics
- Topic
- Advanced Image Processing Techniques
- Field
- Computer Science
- Canadian institutions
- University of Toronto
- Funders
- —
- Keywords
- ShakeComputer visionArtificial intelligenceCamera auto-calibrationComputer scienceMotion blurPhotographyDeconvolutionDigital cameraBlind deconvolutionComputer graphics (images)Rotation (mathematics)Image restorationPinhole camera modelImage (mathematics)Camera resectioningImage processingPhysicsAlgorithmArt
- Has abstract in OpenAlex
- yes