Results 41 to 50 of about 13,696 (179)
Optimization of a Pre-Trained AlexNet Model for Detecting and Localizing Image Forgeries
Information, 2020 With the advance of many image manipulation tools, carrying out image forgery and concealing the forgery is becoming easier. In this paper, the convolution neural network (CNN) innovation for image forgery detection and localization is discussed. A novel
Soad Samir +3 more
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Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing
Data, 2021 Image forgery has grown in popularity due to easy access to abundant image editing software. These forged images are so devious that it is impossible to predict with the naked eye. Such images are used to spread misleading information in society with the
Kalyani Dhananjay Kadam +2 more
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Review on passive approaches for detecting image tampering [PDF]
, 2014 This paper defines the presently used methods and approaches in the domain of digital image forgery detection. A survey of a recent study is explored including an examination of the current techniques and passive approaches in detecting image tampering ...
Hashem, Fatma Salman, Sulong, Ghazali
core
Detection of Region Duplication in Digital Images:A Digital Forensic Approach [PDF]
, 2015 Digital images are easy to manipulate and forge due to availability of powerful image processing and editing software. Region duplication is becoming more and more popular in image manipulation where part of an image is pasted to another location to ...
Ahemad, Talib, Wadhwa, Jatin
core
Autoencoder with recurrent neural networks for video forgery detection
, 2017 Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos.
Cozzolino, Davide +3 more
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Robust forgery detection for compressed images using CNN supervision
Forensic Science International: Reports, 2020 Images available on online sharing platforms have a high probability of being modified, with additional global transformations such as compression, resizing or filtering covering the possible alteration.
Boubacar Diallo +3 more
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Camera-based Image Forgery Localization using Convolutional Neural Networks
, 2018 Camera fingerprints are precious tools for a number of image forensics tasks. A well-known example is the photo response non-uniformity (PRNU) noise pattern, a powerful device fingerprint.
Cozzolino, Davide, Verdoliva, Luisa
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Image Forgery Detection with Interpretability
, 2022 In this work, we present a learning based method focusing on the convolutional neural network (CNN) architecture to detect these forgeries. We consider the detection of both copy-move forgeries and inpainting based forgeries. For these, we synthesize our own large dataset.
Katiyar, Ankit, Bhavsar, Arnav
openaire +2 more sources
, 2018 In this paper, we consider the problem of detecting counterfeit identity documents in images captured with smartphones. As the number of documents contain special fonts, we study the applicability of convolutional neural networks (CNNs) for detection of ...
Berenguel +4 more
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Multibranch Collaboration and Segmented Training Network for Image Forgery Comprehensive Detection
IET BiometricsWith the rise of sophisticated image manipulation techniques, image detection forgeries have become increasingly challenging. This paper presents a novel deep learning framework, the multibranch collaboration and segmented training network (MBC-STN), for
Jing Chang +3 more
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