Building and Using a Database of One Trillion Natural-Image Patches

Sean M. Arietta, Jason Lawrence · IEEE Computer Graphics and Applications · 2010

Many example-based image processing 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.

Read the paper · More papers on PaperTik