Tuesday, 25 February 2014

The Shadows Are All Wrong: 'Photoshopped' Algorithm



Researchers at Dartmouth College have developed a metric to apply to altered images to address how much Photoshopping a picture has undergone, in an effort to provide more truth in advertising and prevent unhealthy body image issues.
Farid and Eric Kee, a Ph.D student in computer science at Dartmouth, published their research this week in the journal National Academy of Sciences.
The tool would work on a rating scale of one to five. Farid and Kee created a base metric by analyzing and statistically measuring results from various before-and-after photos. They then correlated these findings with a study group that was asked to rank the amount of photo alteration on a scale of one (very similar) to five (very different). This numbered metric could then be algorithmically applied to photos of, say, celebrities and models to reveal just how much photo-manipulation took place.

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