Dartmouth researchers recognized for recognizing photoediting
Photo Courtesy Of Wired
Dartmouth computer science prof Hany Farid was recognized for his work developing a software tool that can identify the amount of photo shopping a picture has been subjected to in a variety of newspapers this week. Working with Ph.D. student Eric Kee, Farid created an algorithm that measures how much images of faces and bodies have been altered. The team used online surveys to create a ranking system for the level of changes that gives images a number from one to five, one being the least edited. This technology could be used as a tool to help develop a rating system to show viewers how much images have been edited.
You can see how these levels of change play out here.