Title: A comparative analysis of copy-move forgery detection algorithms

Authors: Mohassin Ahmad; Farida Khursheed

Addresses: Department of Electronics and Communication, National Institute of Technology Srinagar, Jammu and Kashmir, 190006, India ' Department of Electronics and Communication, National Institute of Technology Srinagar, Jammu and Kashmir, 190006, India

Abstract: Copy-paste/copy-move image forgery is also known as image cloning, in which a portion of an image or entity is copied and pasted to another region of a certain picture. This category of image manipulation has the intent either to conceal the entity or to fabricate the image details. Thus, the authenticity of the photographs in different real-world implementations becomes challenging. The number of cases of image tampering is raising with the simple accessibility of image manipulation tools. Therefore, robust, precise and effective approaches to digital image forgery detection are increasingly required. A study on copy-move forgery detection (CMFD) is performed in this paper using three common schemes and their efficiency is checked and compared on images with rotation and scaling in the copied region. First, we will cover DCT-based CMFD, then adaptive over-segmentation and matching feature point. Finally, CMFD, based on PatchMatch, is addressed. The findings show the very good performance of each system.

Keywords: copy-move forgery detection; CMFD; digital image forensics; discrete cosine transform; DCT; scale invariant feature transform; SIFT; PatchMatch.

DOI: 10.1504/IJESDF.2022.126447

International Journal of Electronic Security and Digital Forensics, 2022 Vol.14 No.6, pp.547 - 564

Received: 19 Jan 2021
Accepted: 28 Oct 2021
Published online: 26 Oct 2022 *

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