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 ...
Zhao Huimin, Hang Tu, Ziyuan Li
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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
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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
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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
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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
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Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics [PDF]
Journal of Imaging, 2021 Diego Renza +2 more
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Disentangling copy-moved source and target areas [PDF]
Applied Soft Computing, 2021 Abstract Copy-move is a very popular image falsification where a semantically coherent part of the image, the source area, is copied and pasted at another position within the same image as the so-called target area. The majority of existing copy-move detectors search for matching areas and thus identify the source and target zones indifferently ...
Ludovic Darmet +2 more
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Copy move forgery detection using key point localized super pixel based on texture features [PDF]
Компьютерная 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
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Revista Facultad de Ingeniería Universidad de Antioquia, 2023 Today, image forgery is common due to the massification of low-cost/high-resolution digital cameras, along with the accessibility of computer programs for image processing.
Jimmy alexander Cortés Osorio +2 more
doaj +1 more source
Keypoint based comprehensive copy‐move forgery detection
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 +1 more source