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Vivek Kumar Nema


Image tampering detection; image forgery detection; image forensics; image copy-move detection; image splicing detection, CNN.


In multimedia forensics, many efforts have been made to detect whether an image is pristine or manipulated with high enough accuracies based on specially designed features and classifiers in the past decade. Editing a real-world photo through computer software or mobile applications is one of the easiest things one can do today before sharing the doctored image on one’s social networking sites. Although most people do it for fun, it is suspectable if one concealed an object or changed someone’s face within the image. Before questioning the intention behind the editing operations, we need to first identify how and which part of the image has been manipulated. It therefore demands automatic tools for identifying the intrinsic difference between authentic images and tampered images. However, the important task for localizing the tampering regions in a fake image still faces more challenges compared with the manipulation detection and relatively a few algorithms attempt to tackle it.

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Published in: Volume : 5, Issue : 10
Publication Date: 10/2/2019

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