Once the algorithm is done scanning and identifying modifications, the tool then can show which sections in the photo were edited. It can predict which areas were manipulated and then tries to reverse these changes one by one.
The researchers’ tool, and the Mirage app, not only can tell when an image was changed, but it also can use machine learning to figure out how the photos were altered. The tool was so good at detecting deception that it even outperformed human examiners who were asked to look closely at the pictures for signs of manipulation. The team published a research paper in 2019 that describes a method of detecting facial warping manipulations in an image. This functionality is based on code developed by researchers from Adobe Research and UC Berkeley. The powerhouse of the app is machine learning that can detect when an image has been edited.
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