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Nowadays Error Level Analysis or ELA has become the most common method for image modification detection. This method is used by lots of both commercial and free tools and web-services [1, 2].
In our previous article we discussed using ELA for detection of fragments insertion from the same image or another image. This method also allows examiner to detect other image modifications. For example, image scaling, brightness, contrast and saturation correction, editing with an image editor, and filters usage.
But ELA results interpretation in such cases demands more experience from examiner. The best way to gain it is analysing images with known modifications.
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