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Statistics report
Feb. 2024
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
Issue Published : 132
Paper Published : 1541
No. of Authors : 4000
  Journal Paper


Paper Title :
Digital Image Forgery Types and Analysis of Hybrid Forgery Detection Methods

Author :C. Rajalakshmi, M.Germanus Alex, R.Balasubramanian

Article Citation :C. Rajalakshmi ,M.Germanus Alex ,R.Balasubramanian , (2019 ) " Digital Image Forgery Types and Analysis of Hybrid Forgery Detection Methods " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 14-18, Volume-7, Issue-4

Abstract : We are undoubtedly living in the age where we are exposed to a remarkable array of visual imagery. Over the past few years, the field of digital forensics has emerged to help restore some trust to digital images. The major focus of a digital image forgery or manipulation is to contrive the illegitimate changes in and the major focus of a digital image forgery or manipulation is to contrive the illegitimate changes in an authentic image so that the image closely mimics the legitimacy of an authentic one. Thus, it becomes harder for the human visual system to differentiate between legitimate and forged/manipulated images. A mere detection of forgery is not the only objective here. Comprehensive ongoing research aims at delivering solutions to the problem of differentiating a forged image with that of an authentic image. This paper has presented the different types of digital image forgeries and hybrid detection techniques.

Type : Research paper

Published : Volume-7, Issue-4


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