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Copy-move forgery detection from printed images

SPIE Proceedings, 2014
Counterfeiting digital images through a copy-move forgery is one of the most common ways of manipulating the semantic content of a picture, whereby a portion of the image is copy-pasted elsewhere into the same image. It could happen, however, instead of a digital image only its analog version may be available. Scanned or recaptured (by a digital camera)
AMERINI, IRENE   +5 more
openaire   +1 more source

Copy-move forgery detection in digital image

AIP Conference Proceedings, 2016
Copy-move is considered as one of the most popular kind of digital image tempering, in which one or more parts of a digital image are copied and pasted into different locations. Geometric transformation is among the major challenges in detecting copy-move forgery of a digital image.
Alamro, Loai, Yusoff, Nooraini
openaire   +2 more sources

Fast Exploration of Copy-Move Forgery Image

Advanced Science and Technology Letters, 2016
In this paper, we proposed fast exploration method of copy-move forgery image. We proposed a new simple search algorithm using a half block size for copy-moved forgery image detection. Our algorithm reduced computational complexity more than conventional algorithms.
openaire   +1 more source

A Comparative Analysis of Copy-Move Forgery Detection Algorithms

International Journal of Electronic Security and Digital Forensics, 2022
Farida Khursheed, Mohassin Ahmad
openaire   +1 more source

Copy-move forgery detection in digital image

2010 3rd International Congress on Image and Signal Processing, 2010
Copy-move forgery is a specific type of image tampering where a part of the image is copied and pasted somewhere else in the image with the intent to cover an important image feature. Hence, the goal in detection of copy-move forgeries is to detect image areas that are same or extremely similar.
Li Kang, Xiao-ping Cheng
openaire   +1 more source

Copy-move forgery detection based on multifractals

Multimedia Tools and Applications, 2019
Digital images and video are the basic media for communication nowadays. They are used as authenticated proofs or corroboratory evidence in different areas like: forensic studies, law enforcement, journalism and others. With development of software for editing digital images, it has become very easy to change image content, add or remove important ...
Aleksandra Pavlović   +3 more
openaire   +1 more source

Image Copy-Move Forgery Detection

2022
Badal Soni, Pradip K. Das
openaire   +1 more source

Copy move forgery detection

International Conference & Workshop on Electronics & Telecommunication Engineering (ICWET 2016), 2016
A.B. Patankar   +3 more
openaire   +1 more source

Survey on image copy-move forgery detection

Multimedia Tools and Applications, 2023
Mayank Verma, Durgesh Singh
openaire   +1 more source

Copy-Move Forgery Detection in Transform Domain

2019
In this chapter, we present a copy-move forgery detection technique which utilizes Undecimated Dyadic Wavelet Transform (DyWT) for its operation. Dyadic Wavelet Transform (DyWT) is advantageous because it does not involve signal down-sampling and hence provides a better approximation compared to other wavelet transforms.
Aniket Roy   +3 more
openaire   +1 more source

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