2 Years Impact Factor:
2.85
5 Years Impact Factor: 1.53
Author: Kailash K
Abstract:
In today's digital world, many false pictures are circulating. The exposure of image-based cybercrimes will inevitably include the detection of such false pictures. In this digital age, studies into picture forgeries and methods for detecting them hold great promise. By training a neural network to identify altered areas, it is possible to uncover previously hidden parts of the original picture and identify instances of manipulation.
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