Detection and Localization of Image and Video Tampering
Silpa Joseph1, S.Palanikumar2

1Silpa Joseph*, Research Scholar, CSE, Noorul Islam Centre for Higher Education,Kumarakovil, India.
2S.Palanikumar, Associate Professor, Department of IT, Noorul Islam Centre for Higher Education, Kumarakovil, India.
Manuscript received on January 13, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 1951-1956 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1158029420/2020©BEIESP | DOI: 10.35940/ijitee.D1158.029420
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Abstract: Digital images and videos are widely used in various fields like courtrooms ,military ,medicine ,research, social media etc. So, maintaining the authenticity and integrity of these digital contents is a major concern. For the past few years, researches were going on to find out tampering in the digital contents. Active and passive approaches are the major classification for digital tampering detection. Here, we discuss some of the active and passive approaches and their significance in the current scenario. 
Keywords: Digital Image Watermarking, Copy-Move Forgery, Splicing, Singular Value Decomposition, Peak-Signal-to-Noise Ratio, Bit Error Rate, Scale Invariant Feature Transform, Group of Pictures,F1-Score etc.
Scope of the Article: Signal and Image Processing