“Computer model spots image fraud”

Nature, November 28, 2011

“The resulting system is able to rate the extent of manipulation in new pairs of images with an accuracy of about 80%, says Farid. Although the technique is currently specifically tuned to images of people, Farid sayst that the unerlying algorithms could easily be adapted to analyse scientific images, using journal editors and scientists during the training process.”