Image Restoration Using Online Photo Collections
| Title: | Image Restoration Using Online Photo Collections |
| Author: |
Dale, Kevin Thomas; Johnson, Micah K.; Sunkavalli, Kalyan Krishna; Matusik, Wojciech; Pfister, Hanspeter
Note: Order does not necessarily reflect citation order of authors. |
| Citation: | Dale, Kevin, Micah K. Johnson, Kalyan Sunkavalli, Wojciech Matusik, and Hanspeter Pfister. 2009. Image restoration using online photo collections. Proceedings: IEEE 12th International Conference on Computer Vision: 2217-2224. |
| Full Text & Related Files: |
Dale_Image.pdf (11.90Mb; PDF) 
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| Abstract: | We present an image restoration method that leverages a large database of images gathered from the web. Given an input image, we execute an efficient visual search to find the closest images in the database; these images define the input's visual context. We use the visual context as an image-specific prior and show its value in a variety of image restoration operations, including white balance correction, exposure correction, and contrast enhancement. We evaluate our approach using a database of 1 million images downloaded from Flickr and demonstrate the effect of database size on performance. Our results show that priors based on the visual context consistently out-perform generic or even domain-specific priors for these operations. |
| Published Version: | doi:10.1109/ICCV.2009.5459473 |
| Other Sources: | http://gvi.seas.harvard.edu/sites/all/files/ImageRestoration_ICCV2009.pdf |
| Terms of Use: | This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP |
| Citable link to this page: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:4100254 |
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