SPA-Net: A Deep Learning Approach Enhanced Using a Span-Partial Structure and Attention Mechanism for Image Copy-Move Forgery Detection [PDF]
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]
Copy 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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LBRT: Local-Information-Refined Transformer for Image Copy–Move Forgery Detection [PDF]
The 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
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A Survey of Partition-Based Techniques for Copy-Move Forgery Detection [PDF]
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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The detection of copy move forgery image methodologies
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
On rotation invariance in copy-move forgery detection [PDF]
The goal of copy-move forgery detection is to find duplicated regions within the same image. Copy-move detection algorithms operate roughly as follows: extract blockwise feature vectors, find similar feature vectors, and select feature pairs that share highly similar shift vectors.
Vincent Christlein +2 more
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Copy-move forgery detection using binary discriminant features
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
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Copy Move and Splicing Image Forgery Detection using CNN [PDF]
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
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Seamless Copy Move Manipulation in Digital Images
The importance and relevance of digital image forensics has attracted researchers to establish different techniques for creating as well as detecting forgeries. The core category in passive image forgery is copy-move image forgery that affects the originality of image by applying a different transformation.
Tanzila Qazi +2 more
openaire +2 more sources
An Optimal Hybrid Method to Detect Copy-move Forgery [PDF]
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

