Posts Tagged ‘imagemanipulationdetection’

Using Noise as Camera Fingerprints for Detecting Image Manipulation

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A recent photographic analysis technique developed by Professor Siwei Lyu and his team at the University at Albany – SUNY could lead to better forensic analysis of altered images. The technique takes advantage of the fact that, when splicing two images together, each will bring with it the specific noise pattern of the camera it was shot with.

So, when analyzing the obviously fake image at the top, the flamingo Tiger Woods is using in lieu of his golf club shows up as having a different noise pattern than the rest of the image. Read more…

New Software Suite to Detect Stealthy Image Manipulation

Former Photoshop product manager Kevin Connor and Dartmouth professor (and digital forensic expert) Hany Farid are working together to help put a stop to image manipulation where it doesn’t belong. Putting their two brains together they formed a company called Fourandsix, which is primed to release a full suite of software tools that will help law enforcement officers, photo editors and other interested parties detect secret digital photo manipulation. Read more…