SPA-Net: A Deep Learning Approach Enhanced Using a Span-Partial Structure and Attention Mechanism for Image Copy-Move Forgery Detection [PDF]
Sensors, 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 +2 more sources
Image copy-move forgery detection and localization based on super-BPD segmentation and DCNN [PDF]
Scientific Reports, 2022 With the increasing importance of image information, image forgery seriously threatens the security of image content. Copy-move forgery detection (CMFD) is a greater challenge because its abnormality is smaller than other forgeries.
Qianwen Li +3 more
doaj +2 more sources
Keypoint based comprehensive copy‐move forgery detection [PDF]
IET Image Processing, 2021 Verifying the authenticity of a digital image has been challenging problem. The simplest of the image tampering tricks is the copy‐move forgery. In copy‐move forgery copied portion of the image is pasted on another part of the same image.
Anjali Diwan +3 more
doaj +2 more sources
Frequency domain manipulation of multiple copy-move forgery in digital image forensics. [PDF]
PLoS ONECopy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-move
Tanzeela Qazi +5 more
doaj +2 more sources
Seamless Copy–Move Replication in Digital Images [PDF]
Journal of Imaging, 2022 The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries.
Tanzeela Qazi +3 more
doaj +2 more sources
LBRT: Local-Information-Refined Transformer for Image Copy–Move Forgery Detection [PDF]
SensorsThe current deep learning methods for copy–move forgery detection (CMFD) are mostly based on deep convolutional neural networks, which frequently discard a large amount of detail information throughout convolutional feature extraction and have poor long ...
Peng Liang +3 more
doaj +2 more sources
An Evaluation of Popular Copy-Move Forgery Detection Approaches [PDF]
IEEE Transactions on Information Forensics and Security, 2012 A copy-move forgery is created by copying and pasting content within the same image, and potentially post-processing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics.
Vincent Christlein +2 more
exaly +3 more sources
Blind Detection of Copy-Move Forgery in Digital Audio Forensics
IEEE 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 +3 more sources
A Survey of Partition-Based Techniques for Copy-Move Forgery Detection [PDF]
The Scientific World Journal, 2014 A copy-move forged image results from a specific type of image tampering procedure carried out by copying a part of an image and pasting it on one or more parts of the same image generally to maliciously hide unwanted objects/regions or clone an object ...
Wandji Nanda Nathalie Diane +2 more
doaj +2 more sources
The Optimal Model for Copy-Move Forgery Detection in Medical Images [PDF]
Journal of Medical Signals and SensorsBackground: Digital devices can easily forge medical images. Copy-move forgery detection (CMFD) in medical image has led to abuses in areas where access to advanced medical devices is unavailable.
Ehsan Amiri +2 more
doaj +2 more sources