Analyzing spatially-varying blur
Name
Freeman-Analyzing spatially.pdf
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632.32 KB
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Author(s)
Chakrabarti, Ayan
Zickler, Todd
Freeman, William T.
Date Issued
August 2010
Journal
2010 IEEE Conference on Computer Vision and Pattern Recognition
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Chakrabarti, Ayan, Todd Zickler, and William T. Freeman. “Analyzing Spatially-varying Blur.” IEEE, 2010. 2512–2519. © Copyright 2010 IEEE
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CVPR.2010.5539954
