Results 161 to 170 of about 285 (210)

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
Güzin Ulutas, Mustafa Ulutas, Vasif V. Nabiyev   +2 more
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 0001   +1 more
openaire   +1 more source

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, POGGI, GIOVANNI, VERDOLIVA, LUISA   +2 more
openaire   +2 more sources

Rotation robust detection of copy-move forgery

2010 IEEE International Conference on Image Processing, 2010
Copy-move tampering is a common type of image synthesizing, where a part of an image is copied and pasted to another place to add or remove an object. In this paper, an efficient algorithm based on the Fourier-Mellin Transform is proposed with features extracted along radius direction. Also, to reduce computational cost, a link processing is introduced
Weihai Li, Nenghai Yu
openaire   +1 more source

An efficient model for copy-move image forgery detection

International Journal of Web Information Systems, 2022
Purpose This study aims to solve problems of detecting copy-move images. With input images, the problem aims to: Confirm the original or forgery of the images, evaluate the performance of the detection and compare the proposed method’s effectiveness to the related ones.
Kha-Tu Huynh, Tu-Nga Ly, Thuong Le-Tien
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 Pavlovic, Natasa Glisovic, Ana Gavrovska, Irini Reljin   +3 more
openaire   +1 more source

Copy-Move Forgery Detection Using DyWT

International Journal of Multimedia Data Engineering and Management, 2017
In this paper, we proposed a passive method for copy-move region duplication detection using dyadic wavelet transform (DyWT). DyWT is better than discrete wavelet transform (DWT) for data analysis as it is shift invariant. Initially we decompose the input image into approximation (LL1) and detail (HH1) sub-bands.
Choudhary Shyam Prakash, Sushila Maheshkar   +1 more
openaire   +1 more source

An Efficient Detection Algorithm for Copy-Move Forgery

2015 10th Asia Joint Conference on Information Security, 2015
The most common method of tampering with a digital image is copy-move forgery, in which a part of an image is duplicated and used to substitute another part of the same image at a different location. In this paper, we present an efficient and robust method to detect such artifacts.
Chen-Ming Hsu, Jen-Chun Lee, Wei-Kuei Chen   +2 more
openaire   +1 more source

An efficient and robust method for detecting copy-move forgery

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Copy-move forgery is a specific type of image tampering, where a part of the image is copied and pasted on another part of the same image. In this paper, we propose a new approach for detecting copy-move forgery in digital images, which is considerably more robust to lossy compression, scaling and rotation type of manipulations.
Sevinc Bayram, Husrev T. Sencar, Nasir D. Memon   +2 more
openaire   +2 more sources

A two-stage localization for copy-move forgery detection

Information Sciences, 2018
Abstract A two-stage localization for copy-move forgery detection (CMFD) is proposed in this paper. In the first stage, rough localization, Simple Linear Iterative Clustering (SLIC) is employed to segment the image into meaningful patches (superpixels).
Chi-Man Pun, Jim-Lee Chung
openaire   +1 more source