Posts Tagged ‘erickee’

New Algorithm Can Pick Out Photo Fakes by Looking at Shadows

shadow

As post-production software continues to become more and more powerful, researchers are doing their best to keep up by developing new methods of spotting digital photo fakes. In the past, we’ve seen that noise patterns and even Twitter trends can help spot fakes, but a new method out of UC Berkeley is taking a look at something else entirely: the shadows. Read more…

Researchers Create Program That Can Quantify How Fake Photos Are

What if all advertising photos came with a number that revealed the degree to which they were Photoshopped? We might not be very far off, especially with recent advertising controversies and efforts to get “anti-Photoshop laws” passed. Researchers Hany Farid and Eric Kee at Dartmouth have developed a software tool that detects how much fashion and beauty photos have been altered compared to the original image, grading each photo on a scale of 1-5. The program may eventually be used as a tool for regulation: both publications and models could require that retouchers stay within a certain threshold when editing images.

(via Dartmouth via NYTimes)