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Copy-move forgery detection based on PatchMatch

2014 IEEE International Conference on Image Processing (ICIP), 2014
In this work we propose a new algorithm for copy-move forgery detection and localization, based on the fast computation of a dense nearest-neighbor field. To this end, we use PatchMatch, an iterative randomized algorithm for nearest-neighbor search, which exploits the regularity of natural images to converge very rapidly to a near-optimal and smooth ...
COZZOLINO, DAVIDE   +2 more
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Copy-Move Forgery Detection in Digital Image

2009
Digital images are easy to be tempered and edited due to availability of image editing software. The most common ways to temper a digital image is copy-paste forgery which is used to conceal objects or produce a non-existing scene. To detect the copy-paste forgery, we divide the image into blocks as the basic feature for detection, and transfer every ...
Qing-Chu Yang, Chung-Lin Huang
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Copy-move forgery detection using lexicographical sort

2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC), 2016
Copy-move forgery is one of the widely used forgery technique to alter digital image to conceal its originality. To testify the originality of an image, many detection techniques have been proposed and it is a very popular research field these days. Here we have presented a detection method based on discrete cosine transform (DCT) using lexicographical
Choudhary Shyam Prakash   +1 more
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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.
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Accurate And Efficient Copy-Move Forgery Detection

2019 9th International Conference on Advances in Computing and Communication (ICACC), 2019
Today, due to the development of image processing applications like GIMP and Photoshop, forging of digital images with the absence of any trace is not at all difficult. Therefore crucial validation of content in a digital image is essential. Among the many prevailing forgery techniques, the copy-move forgery is recurrently occurring and it is easily ...
Nidhi Anna Kurien   +4 more
openaire   +1 more source

Efficient Dense-Field Copy–Move Forgery Detection

IEEE Transactions on Information Forensics and Security, 2015
We propose a new algorithm for the accurate detection and localization of copy–move forgeries, based on rotation-invariant features computed densely on the image. Dense-field techniques proposed in the literature guarantee a superior performance with respect to their keypoint-based counterparts, at the price of a much higher processing time, mostly due
COZZOLINO, DAVIDE   +2 more
openaire   +2 more sources

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

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 Using Cellular Automata

2014
Thanks to the availability of many sophisticated image processing tools, digital image forgery is prevalent nowadays. One of the common methods is copymove forgery (CMF), where part of an image is copied to another location in the same image. Detection of copy-move forgery has been widely researched recently, and many different solutions have been ...
Tralić, Dijana, Grgić, Sonja
openaire  

Image Copy-Move Forgery Detection

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

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