Results 241 to 250 of about 81,144 (285)
Some of the next articles are maybe not open access.

Copy Move Forgery Detection based on double matching

Journal of Visual Communication and Image Representation, 2021
Abstract Copy Move is a technique widespreadly used in digital image tampering, meaning Copy Move Forgery Detection (CMFD) is still a significant research. In this paper, a novel CMFD method is proposed, including double matching process and region localizing process.
Qiyue Lyu   +5 more
openaire   +1 more source

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

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   +3 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   +2 more
openaire   +2 more sources

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   +2 more
openaire   +2 more sources

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
openaire   +1 more source

COVERAGE — A novel database for copy-move forgery detection

2016 IEEE International Conference on Image Processing (ICIP), 2016
We present COVERAGE — a novel database containing copy-move forged images and their originals with similar but genuine objects. COVERAGE is designed to highlight and address tamper detection ambiguity of popular methods, caused by self-similarity within natural images.
Bihan Wen   +5 more
openaire   +1 more source

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

Detection of copy move forgery using Legendre Moments

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
Today there are different manipulations on images. Copy move forgery is one of them. Copy move forgery means that; any part of an image is taken and added to another part of the same image in a professional way. To detect forgeries, image is divided into overlapped blocks and feature vectors are generated for every block. Feature vectors are tips about
Samet Aymaz, Seyma Aymaz, Güzin Ulutas
openaire   +1 more source

JPEG compression model in copy-move forgery detection

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
The integrity of visual data is important for the credibility of news media and especially when used as an evidence in court or during criminal investigation. The common way to manipulate image content is copying an object and pasting in another location of the same image.
Adam Novozámský, Michal Sorel
openaire   +1 more source

Home - About - Disclaimer - Privacy