Implementation of Copy Paste Forgery through MATLAB

Manjot Kaur

copy-move forgery, JPEG compression, image Forgery, Copy move

As copy-move forgery is one of the most popular image forgery so importance of forgery detection techniques is increasing day by day. Various image forgery detection techniques are proposed by researchers to withstand against several post processing operations applied over forged region but there is lot of scope in this field to search for methods which are robust to challenges like geometric transformations (scaling, rotation). Time complexity is major issue with forgery detection algorithms. Frequency-based techniques discussed in this paper are very efficient in forgery detection. These techniques can detect forgery even if blurring, noise addition and JPEG compression is used over image. Some methods are also robust to geometrical transformation.

Published Paper   E-Certificate

"Implementation of Copy Paste Forgery through MATLAB", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 8, page no.291 - 298, August-2019, Available :https://ijsdr.org/papers/IJSDR1908047.pdf

Volume 4 Issue 8, August-2019

Pages : 291 - 298

Paper Reg. ID: IJSDR_190920

Published Paper Id: IJSDR1908047

Downloads: 000347169

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1908047

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1908047

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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