James Hays and Alexei Efros from Carnegie Mellon University have developed an algorithm to help people who want to remove bits of photographs.
The parts being removed could be unsightly lorries in the snaps of the rural idyll where they took a holiday or even an old boyfriend or girlfriend they want to rub out from a photograph.
To find suitable matching elements, the research duo’s algorithm looks through a database of 2.3 million images culled from Flickr.
“We search for other scenes that share as closely as possible the same semantic scene data,” said Mr Hays, who has been showing off the project at the computer graphics conference Siggraph, in San Diego. —Mark Ward —Photo tool could fix bad images (BBC)
I wonder whether such a database could also be used to detect doctored images? Thanks for the suggestion, Rosemary.