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Rotation invariant copy move forgery detection method

2015 9th International Conference on Electrical and Electronics Engineering (ELECO), 2015
In recent years, due to the increment in the image editing software applications and the easiness of using these, the probability of malicious changes on the images has also increased. Copy-move forgery is one of the most widely applied modification types on the images. In case of that the copied region is rotated before being pasted, forgery detection
Emre Gurbuz   +2 more
openaire   +1 more source

Copy-Move Forgery Detection Methods: A Critique

2020
With the advancement of image editing tools, legitimacy and creditability of the images are put in jeopardy. There are various types of image forgeries techniques like splicing, retouching, false captioning, and copy-move. But the most predominant forgery techniques are splicing and copy-move forgery. In copy-move forgery, a part of the image is copied
Monika Kharanghar, Amit Doegar
openaire   +1 more source

Security of copy-move forgery detection techniques

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
Copy-move forgery is a specific form of image tampering, where a part of a digital image is copied and pasted into a different part of the same image. There are many copy-move forgery detection techniques, but their security has not been examined in detail. In this paper, we analyze the robustness and security of the detection techniques of Fridrich [1]
Hieu Cuong Nguyen, Stefan Katzenbeisser
openaire   +1 more source

Copy move forgery detection based on LBP

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Increase on the availability of the image editing tools makes it easy to create digital forgeries. More popular forgery in image manipulation is the copy move forgery where part of an image is copied into another location to hide an object. The methods that are used to detect the copy move forgery in images have a drawback. Length of the feature vector
G. Ulutas, M. Ulutas, V. V. Nabiyev
openaire   +1 more source

Copy-move forgery detection using improved SIFT

SPIE Proceedings, 2016
There are various forgeries in digital images without leaving any obvious traces of tampering due to powerful image processing and editing software. Copy-move forgery is a common type of image forgery in which a part of digital image is copied and pasted to another part in the same image with the intent of disguising some details.
Yigang Zhou, Yunfang Xie
openaire   +1 more source

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

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 PHT

2012 World Congress on Information and Communication Technologies, 2012
Copy-move is one of the most common method for image tampering. Many methods have been proposed to detect the tampered regions. However, it is hard to detect the tampered regions when they are rotated before being pasted. To solve the problem, this paper presents a novel approach for detecting region-duplication forgery with rotation.
Leida Li, Shushang Li, Jun Wang
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

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