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 accomplis...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2012
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| Online Access: | http://hdl.handle.net/1721.1/71891 https://orcid.org/0000-0002-2231-7995 |
| _version_ | 1826213120941490176 |
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| author | Chakrabarti, Ayan Zickler, Todd Freeman, William T. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Chakrabarti, Ayan Zickler, Todd Freeman, William T. |
| author_sort | Chakrabarti, Ayan |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:43:39Z |
| format | Article |
| id | mit-1721.1/71891 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:43:39Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/718912022-09-29T15:45:57Z Analyzing spatially-varying blur Chakrabarti, Ayan Zickler, Todd Freeman, William T. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Freeman, William T. Freeman, William T. 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. United States. National Geospatial-Intelligence Agency (NEGI-1582-04-0004) United States. Army Research Office. Multidisciplinary University Research Initiative (Grant Number N00014-06-1-0734) Google (Firm) Microsoft Corporation Adobe Systems 2012-07-30T17:28:10Z 2012-07-30T17:28:10Z 2010-08 2010-06 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-6984-0 1063-6919 http://hdl.handle.net/1721.1/71891 Chakrabarti, Ayan, Todd Zickler, and William T. Freeman. “Analyzing Spatially-varying Blur.” IEEE, 2010. 2512–2519. © Copyright 2010 IEEE https://orcid.org/0000-0002-2231-7995 en_US http://dx.doi.org/ 10.1109/CVPR.2010.5539954 2010 IEEE Conference on Computer Vision and Pattern Recognition 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. application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE |
| spellingShingle | Chakrabarti, Ayan Zickler, Todd Freeman, William T. Analyzing spatially-varying blur |
| title | Analyzing spatially-varying blur |
| title_full | Analyzing spatially-varying blur |
| title_fullStr | Analyzing spatially-varying blur |
| title_full_unstemmed | Analyzing spatially-varying blur |
| title_short | Analyzing spatially-varying blur |
| title_sort | analyzing spatially varying blur |
| url | http://hdl.handle.net/1721.1/71891 https://orcid.org/0000-0002-2231-7995 |
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