A Review on Copy-Move Image Forgery Detection Techniques

Abstract

With billions of digital images flooding the internet which are widely used and regards as the major information source in many fields in recent years. With the high advance of technology, it may seem easy to fraud the image. In digital images, copy-move forgery is the most common image tampering, where some object(s) or region(s) duplicate in the digital image. The important research has attracted more attention in digital forensic is forgery detection and localization. Many techniques have been proposed and many papers have been published to detect image forgery. This paper introduced a review of research papers on copy-move image forgery published in reputed journals from 2017 to 2020 and focused on discussing various strategies related with fraud images to highlight on the latest tools used in the detection. This article will help the researchers to understand the current algorithms and techniques in this field and ultimately develop new and more efficient algorithms of detection copy-move image.

Detection of Copy-Move Forgery in Digital Images Using Singular Value燚ecomposition

“…The primary approach to detecting the same regions is block-based [9,10], which means they look for block pixels similar to the other block(s) in an image, where a gap is separate between them. Such methods help detect copy-move forgery, which occurs when an image region is replicated without being altered.…”

A Review on Copy Move Forgery Detection in Document Images

“…Zaid Nidhal Khudhair et al [1] have explained the technique for copy move forgery detection which has based on different approaches. The method is using a Scale Invariant Feature Transform [SIFT] algorithm.…”

“…Because of mechanical advancement and the availability of low-cost hardware and computer programme modification hardware, as well as the availability of advanced controlling, Instruments that make image manipulation easier and less time consuming. Every day, image forgery becomes a major issue [1].…”

A survey on tamper detection techniques for digital images

“…It might be special information, such as the serial number of the tuner or a company logo, and it is added to the digital image to determine the copyright. See figure (9) which shows the presence of the watermark in the digital image (15).…”

“…The digital signature contains some secondary information obtained from the digital message or image, and only the sender has the right to sign the image, so the recipient must verify the authenticity of the signature. Also, the digital signature cannot be forged by unauthenticated persons [15].…”