National Journal of Advanced Research

National Journal of Advanced Research


National Journal of Advanced Research
National Journal of Advanced Research
Vol. 5, Issue 1 (2019)

Detection technique for the gif forgery image


Prakash Dangi, Neha Gopaliya, Aditya Narayan

In the recent years, forgeries have a challenge in every digital image aspect. In this paper, we propose an algorithm for digital image forgery for joint photographic experts group (JPEG). The aim is to capture the GIF forged image using original image. Predominately existing work focus only JPEG image. Our target is to propose a generalised algorithm of forgery image that separates the original and forged image cue to contribution in digital image processing. This work surpasses all the literature work as a point of forgery in both types’ images. At the end, the experimental setup results ensure that validate of the design approach. The robustness of algorithm of digital image forgery is tested on MATLAB R2015a (64bit) tool.
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