Image Restoration Using Online Photo Collections
Johnson, Micah K.
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CitationDale, 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.
AbstractWe 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.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4100254
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