Analyzing spatially-varying blur
Author(s)Chakrabarti, Ayan; Zickler, Todd; Freeman, William T.
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2010 IEEE Conference on Computer Vision and Pattern Recognition
Institute of Electrical and Electronics Engineers (IEEE)
Chakrabarti, Ayan, Todd Zickler, and William T. Freeman. “Analyzing Spatially-varying Blur.” IEEE, 2010. 2512–2519. © Copyright 2010 IEEE
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