Results 41 to 50 of about 79,494 (188)

Copy Move Image Forgery Detection Using SIFT [PDF]

open access: yesOriental journal of computer science and technology, 2016
In recent years the digital form of data allowing ease on to manipulation & storage due to progress in technology. But this progress in technology has lots of risks especially when it comes to the security of the digital data & files. Basically, image forgery means malfunctioning & playing with images or manipulating data fraudulently.
Priyanka Ruikar, Pravin Patil
openaire   +1 more source

False Matches Removing in Copy-Move Forgery Detection Algorithms

open access: yesAl-Mustansiriyah Journal of Science, 2020
Today the technology age is characterized by spreading of digital images. The most common form of transfer the information in magazines, newspapers, scientific journals and all types of social media.
muthana salih mahdi, Saad N. Alsaad
doaj   +1 more source

Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression

open access: yesIEEE Access, 2020
Multimedia files play an important role in everyday life. Today, the majority of the population owns state-of-the-art cameras integrated into their mobile devices.
Esteban Alejandro Armas Vega   +3 more
doaj   +1 more source

CNN-Based Copy-Move Forgery Detection Using Rotation-Invariant Wavelet Feature

open access: yesIEEE Access, 2022
This paper introduces a machine learning based copy-move forgery (CMF) localization method. The basic convolutional neural network cannot be applied to CMF detection because CMF frequently involves rotation transformation.
Sang In Lee, Jun Young Park, Il Kyu Eom
doaj   +1 more source

Detecting Multiple Copies in Tampered Images [PDF]

open access: yes, 2010
Copy-move forgeries are parts of the image that are duplicated elsewhere into the same image, often after being modified by geometrical transformations.
ARDIZZONE, Edoardo   +2 more
core   +1 more source

SMDAF: A novel keypoint based method for copy‐move forgery detection

open access: yesIET Image Processing, 2022
Copy–move forgery poses a significant threat to social life and has aroused much attention in recent years. Although many copy‐move forgery detection (CMFD) methods have been proposed, the most existing CMFD methods are short of adaptability in detecting
Guangyu Yue   +5 more
doaj   +1 more source

A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization

open access: yes, 2017
We propose a new algorithm for the reliable detection and localization of video copy-move forgeries. Discovering well crafted video copy-moves may be very difficult, especially when some uniform background is copied to occlude foreground objects.
Huang, Dawei   +4 more
core   +1 more source

CoMoFoD #x2014; New database for copy-move forgery detection [PDF]

open access: yes, 2013
Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image ...
Grgic, M   +3 more
core  

Robust Copy-move Forgery Detection through Invariant Moment Features [PDF]

open access: yes, 2016
The proposed scheme uses the invariant features extracted from each block to detect the copy-move forgery detection regions in a digital image. In the proposed scheme, an image is first divided into overlapping blocks.
Chen, Chien-Chang
core  

Detection of Duplicated Regions in Tampered Digital Images by Bit-Plane Analysis [PDF]

open access: yes, 2009
In this paper we present a new method for searching duplicated areas in a digital image. The goal is to detect if an image has been tampered by a copy-move process. Our method works within a convenient domain. The image to be analyzed is decomposed in
ARDIZZONE, Edoardo, MAZZOLA, Giuseppe
core   +1 more source

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