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ABSTRACT
Many example-based imageprocessing algorithms operate on image patches (texture synthesis, resolution enhancement, image denoising, and so on). However, inaccessibility to a large, varied collection of image patches has hindered widespread adoption of these methods. The authors describe the construction of a database of one trillion image patches and demonstrate its research utility.
INDEX TERMS
Databases, Approximation methods, Approximation algorithms, Nearest neighbor searches, Accuracy, Image segmentation, Artificial neural networks
CITATION
S M Arietta, J Lawrence, "Building and Using a Database of One Trillion Natural-Image Patches", IEEE Computer Graphics and Applications, vol. 31, no. , pp. 9-19, January/February 2011, doi:10.1109/MCG.2010.105
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