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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 4, ISSUE 11, NOVEMBER 2015

Comparative Analysis of Techniques for Detecting Copy-Move Image Forgery

Pameli Mukherjee, Saurabh Mitra

DOI: 10.17148/IJARCCE.2015.411107

Abstract: Various image editing tools available today let alter image content without any expert guidance. Hence, image based crime is increasing at a faster rate than before. Various algorithms exist to detect copy-move forgery in images. In this paper, we compare two popular methods based on DWT and DCT to study and analyze their performance based on execution time and visual results. In both the methods, phase correlation has been applied after respective transformation, as a similarity criterion to estimate the translate offset between two similar regions of an image.



Keywords: DCT (Discrete Cosine Transform), DWT (Discrete wavelet Transform), lexicographical sorting, phase correlation.

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Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite:

[1] Pameli Mukherjee, Saurabh Mitra, β€œComparative Analysis of Techniques for Detecting Copy-Move Image Forgery,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.411107

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