Results 11 to 20 of about 285 (210)

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

An Optimal Hybrid Method to Detect Copy-move Forgery [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2023
Image is a powerful communication tool that is widely used in various applications, such as forensic medicine and court, where the validity of the image is crucial. However, with the development and availability of image editing tools, image manipulation
Fatemeh Zare mehrjardi   +2 more
doaj   +1 more source

SPA-Net: A Deep Learning Approach Enhanced Using a Span-Partial Structure and Attention Mechanism for Image Copy-Move Forgery Detection

open access: yesSensors, 2023
With the wide application of visual sensors and development of digital image processing technology, image copy-move forgery detection (CMFD) has become more and more prevalent.
Kaiqi Zhao   +5 more
doaj   +1 more source

Copy Move and Splicing Image Forgery Detection using CNN [PDF]

open access: yesITM Web of Conferences, 2022
The boom of digital images coupled with the development of approachable image manipulation software has made image tampering easier than ever. As a result, there is massive increase in number of forged or falsified images that represent incorrect or ...
Mallick Devjani   +3 more
doaj   +1 more source

Blind Detection of Copy-Move Forgery in Digital Audio Forensics

open access: yesIEEE Access, 2017
Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark ...
Muhammad Imran   +3 more
doaj   +1 more source

Copy-move forgery detection via texture description [PDF]

open access: yesProceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, 2010
Copy-move forgery is one of the most common type of tampering in digital images. Copy-moves are parts of the image that are copied and pasted onto another part of the same image. Detection methods in general use block-matching methods, which first divide the image into overlapping blocks and then extract features from each block, assuming similar ...
ARDIZZONE, Edoardo   +2 more
openaire   +2 more sources

The detection of copy move forgery image methodologies

open access: yesMeasurement: Sensors, 2023
In every area that uses digital photos, image security is a major concern. Photos of suspects, crime scene photos, biometric photographs, and other images have long been used in forensic investigations and public safety.
Shahad Lateef abdulwahid
doaj   +1 more source

Copy move forgery detection using key point localized super pixel based on texture features [PDF]

open access: yesКомпьютерная оптика, 2019
The most important barrier in the image forensic is to ensue a forgery detection method such can detect the copied region which sustains rotation, scaling reflection, compressing or all.
C. Rajalakshmi   +2 more
doaj   +1 more source

Copy-move forgery detection using binary discriminant features

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Digital images have numerous applications in various fields such as cyber forensics, courts, newspapers, magazines, medical field and many more. Therefore, the trustfulness of the contents of an image is very essential. Image manipulation has become very
Priya Mariam Raju, Madhu S. Nair
doaj   +1 more source

Copy Move Forgery Detection with Quadtree Decomposition Segmentation

open access: yes2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020
The increasing usage of digital images and the wide availability of easy-to-use image editors have made the authenticity of images questionable. Copy-move is one of the most applied forgery types. The keypoint-based copy move forgery detection methods in the literature cannot detect forgeries with smooth regions. In this paper to overcome this problem,
Gul Muzaffer   +2 more
openaire   +2 more sources

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