Algorithm draws on millions of images to seamlessly fill blanks in photographs

August 17, 2007 The advent of digital photography has opened up a new world of image editing possibilities including the ability to fill-in blanks or replace unwanted parts of an image. A new algorithm devised by James Hayes and Alexei A. Efros of Carnegie Mellon University facilitates this process by drawing on a huge database of more than a million images from the World Wide Web in order to seamlessly fill in the missing areas of incomplete photographs.

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