Hybrid lstm and encoder–decoder architecture for detection of image forgeries
With advanced image journaling tools, one can easily alter the semantic meaning of an
image by exploiting certain manipulation techniques such as copy clone, object splicing …
image by exploiting certain manipulation techniques such as copy clone, object splicing …
Exploiting spatial structure for localizing manipulated image regions
JH Bappy, AK Roy-Chowdhury… - Proceedings of the …, 2017 - openaccess.thecvf.com
The advent of high-tech journaling tools facilitates an image to be manipulated in a way that
can easily evade state-of-the-art image tampering detection approaches. The recent …
can easily evade state-of-the-art image tampering detection approaches. The recent …
Detection and localization of image forgeries using resampling features and deep learning
Resampling is an important signature of manipulated images. In this paper, we propose two
methods to detect and localize image manipulations based on a combination of resampling …
methods to detect and localize image manipulations based on a combination of resampling …
Encoder-decoder based convolutional neural networks for image forgery detection
Today, images editing software has greatly evolved, thanks to them that the semantic
manipulation of images has become easier. On the other hand, the identification of these …
manipulation of images has become easier. On the other hand, the identification of these …
Statistical model-based detector via texture weight map: Application in re-sampling authentication
T Qiao, R Shi, X Luo, M Xu, N Zheng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The problem of authenticating a re-sampled image has been investigated over many years.
Currently, however, little research proposes a statistical model-based test, resulting in that …
Currently, however, little research proposes a statistical model-based test, resulting in that …
A random matrix approach to the forensic analysis of upscaled images
D Vázquez-Padín, F Pérez-González… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The forensic analysis of resampling traces in upscaled images is addressed via subspace
decomposition and random matrix theory principles. In this context, we derive the asymptotic …
decomposition and random matrix theory principles. In this context, we derive the asymptotic …
Boosting image forgery detection using resampling features and copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling, cloning, region
removal and other methods. While resampling detection algorithms are effective in detecting …
removal and other methods. While resampling detection algorithms are effective in detecting …
Design of cyber-physical-social systems with forensic-awareness based on deep learning
B Yang, H Guo, E Cao - Advances in Computers, 2021 - Elsevier
Cyber-physical-social systems (CPSSs) contain integrated cyber parts, including computing,
communication, and physical parts; it uses computations and communication embedded in …
communication, and physical parts; it uses computations and communication embedded in …
Detection of upscale-crop and splicing for digital video authentication
RD Singh, N Aggarwal - Digital Investigation, 2017 - Elsevier
The eternal preoccupation with multimedia technology is the precursor of us becoming a
civilization replete with astonishing miscellanea of digital audio-visual information. Not so …
civilization replete with astonishing miscellanea of digital audio-visual information. Not so …
CNN-based rescaling factor estimation
C Liu, M Kirchner - Proceedings of the ACM Workshop on Information …, 2019 - dl.acm.org
We demonstrate the estimation of image resampling parameters in a deep learning
framework by regressing the rescaling factor of 64x64-sized patches on features learned …
framework by regressing the rescaling factor of 64x64-sized patches on features learned …