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…
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5Topics & keywords
Topics
Keywords
- Shake
- Computer vision
- Artificial intelligence
- Camera auto-calibration
- Computer science
- Motion blur
- Photography
- Deconvolution
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