A detailed analysis of image and video forgery detection techniques
With the recent advancement in modern technology, one can easily manipulate a digital
image or video using computer software or a mobile application. The purpose of editing …
image or video using computer software or a mobile application. The purpose of editing …
Image forgery techniques: a review
Image forensics is an investigation of digital images to identify manipulations that have been
done on them. Nowadays, due to the availability of different low-cost devices for capturing …
done on them. Nowadays, due to the availability of different low-cost devices for capturing …
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 …
Identification of deep network generated images using disparities in color components
With the powerful deep network architectures, such as generative adversarial networks, one
can easily generate photorealistic images. Although the generated images are not …
can easily generate photorealistic images. Although the generated images are not …
Image tampering localization using a dense fully convolutional network
The emergence of powerful image editing software has substantially facilitated digital image
tampering, leading to many security issues. Hence, it is urgent to identify tampered images …
tampering, leading to many security issues. Hence, it is urgent to identify tampered images …
A survey on image tampering and its detection in real-world photos
Editing a real-world photo through computer software or mobile applications is one of the
easiest things one can do today before sharing the doctored image on one's social …
easiest things one can do today before sharing the doctored image on one's social …
Digital image integrity–a survey of protection and verification techniques
P Korus - Digital Signal Processing, 2017 - Elsevier
We are currently on a verge of a revolution in digital photography. Developments in
computational imaging and adoption of artificial intelligence have spawned new editing …
computational imaging and adoption of artificial intelligence have spawned new editing …
Deep learning local descriptor for image splicing detection and localization
In this paper, a novel image splicing detection and localization scheme is proposed based
on the local feature descriptor which is learned by deep convolutional neural network …
on the local feature descriptor which is learned by deep convolutional neural network …
SNIS: A signal noise separation-based network for post-processed image forgery detection
Image forgery detection has aroused widespread research interest in both academia and
industry because of its potential security threats. Existing forgery detection methods achieve …
industry because of its potential security threats. Existing forgery detection methods achieve …
Adversarial learning for constrained image splicing detection and localization based on atrous convolution
Y Liu, X Zhu, X Zhao, Y Cao - IEEE Transactions on Information …, 2019 - ieeexplore.ieee.org
Constrained image splicing detection and localization (CISDL), which investigates two input
suspected images and identifies whether one image has suspected regions pasted from the …
suspected images and identifies whether one image has suspected regions pasted from the …