Analyzing Spatially-varying Blur

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Analyzing Spatially-varying Blur
Blur is caused by a pixel receiving light from multiple scene points, and in many cases, such as object motion, the induced blur varies spatially across the image plane. However, the seemingly straight-forward task of estimating spatially-varying blur from a single image has proved hard to accomplish reliably. This work considers such blur and makes two contributions: a local blur cue that measures the likelihood of a small neighborhood being blurred by a candidate blur kernel; and an algorithm that, given an image, simultaneously selects a motion blur kernel and segments the region that it affects. The methods are shown to perform well on a diversity of images.
Ayan Chakrabarti, Todd Zickler, William Freeman
Added 31 Mar 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Ayan Chakrabarti, Todd Zickler, William Freeman
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