Results 171 to 180 of about 285 (210)

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

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, Ye Zhu, Ramanathan Subramanian, Tian-Tsong Ng, Xuanjing Shen, Stefan Winkler 0001   +5 more
openaire   +1 more source

A proposed accelerated image copy-move forgery detection

2014 IEEE Visual Communications and Image Processing Conference, 2014
Image forgery detection is currently one of the interested research fields of image processing. Copy-Move (CM) forgery is one of the frequently used techniques. In this paper, we propose a method which is efficient and fast for detect copy-move regions. The proposed method accelerates block matching strategy.
Sondos M. Fadl, Noura A. Semary
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)
Irene Amerini, Roberto Caldelli, Alberto Del Bimbo, Andrea Di Fuccia, Luigi Saravo, Anna Paola Rizzo   +5 more
openaire   +1 more source

Copy-move forgery detection based on scaled ORB

Multimedia Tools and Applications, 2015
To solve the problem of the false matching and low robustness in detecting copy-move forgeries, a new method was proposed in this study. It involves the following steps: first, establish a Gaussian scale space; second, extract the orientated FAST key points and the ORB features in each scale space; thirdly, revert the coordinates of the orientated FAST
Ye Zhu, Xuanjing Shen, Haipeng Chen 0002
openaire   +1 more source

A Non-intrusive Method for Copy-Move Forgery Detection

2011
The issue of verifying the authenticity and integrity of digital images is becoming increasingly important. Copy-move forgery is one type of image tempering that is commonly used for manipulating digital content; in this case, some part of an image is copied and pasted on another region of the image. Using a non-intrusive approach to solve this problem
Najah Muhammad, Muhammad Hussain 0001, Muhammad Ghulam, George Bebis   +3 more
openaire   +1 more source

Copy–Move Forgery Detection by Matching Triangles of Keypoints

IEEE Transactions on Information Forensics and Security, 2015
Copy–move forgery is one of the most common types of tampering for digital images. Detection methods generally use block-matching approaches, which first divide the image into overlapping blocks and then extract and compare features to find similar ones, or point-based approaches, in which relevant keypoints are extracted and matched to each other to ...
Edoardo Ardizzone, Alessandro Bruno, Giuseppe Mazzola   +2 more
openaire   +2 more sources

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

Copy-move forgery detection based on deep learning

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017
Copy-move forgery detection (CMFD) is probably one of the most active research areas within the blind image forensics field. Among existing algorithms, most of them are based on block and key-point methods, or combination of them. Recently, some deep convolutional neural networks methods have been applied in the image classification, image forensic ...
Junlin Ouyang, Yizhi Liu, Miao Liao
openaire   +1 more source