Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features
To fight against real-life image forgery, which commonly involves different types and
combined manipulations, we propose a unified deep neural architecture called ManTra-Net …
combined manipulations, we propose a unified deep neural architecture called ManTra-Net …
Digital image forgery detection: a systematic scrutiny
Image manipulation has eroded our trust of digital images, with more subtle forgery methods
posing an ever-increasing challenge to the integrity of images and their authenticity. Over …
posing an ever-increasing challenge to the integrity of images and their authenticity. Over …
A critical literature survey and prospects on tampering and anomaly detection in image data
Concernings related to image security have increased in the last years. One of the main
reasons relies on the replacement of conventional photography to digital images, once the …
reasons relies on the replacement of conventional photography to digital images, once the …
CFL-Net: image forgery localization using contrastive learning
Conventional forgery localizing methods usually rely on different forgery footprints such as
JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to locate …
JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to locate …
QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method
One of the prevalent methods of image forgery is copy-move, where one or more regions of
an image are duplicated and moved elsewhere in the image. It is usually difficult to detect …
an image are duplicated and moved elsewhere in the image. It is usually difficult to detect …
Deep matching and validation network: An end-to-end solution to constrained image splicing localization and detection
Image splicing is a very common image manipulation technique that is sometimes used for
malicious purposes. A splicing detection and localization algorithm usually takes an input …
malicious purposes. A splicing detection and localization algorithm usually takes an input …
Identification of copy-move and splicing based forgeries using advanced SURF and revised template matching
Various image tampering detection approaches are used to find the variations or
inconsistencies in statistical image features. But still these techniques lack behind to identify …
inconsistencies in statistical image features. But still these techniques lack behind to identify …
An efficient approach for forgery detection in digital images using Hilbert–Huang transform
H Kasban, S Nassar - Applied Soft Computing, 2020 - Elsevier
Image manipulation plays important role in fake news spreading and it may cause ethical,
economic, or political problems for people and sometimes for countries. Image integrity …
economic, or political problems for people and sometimes for countries. Image integrity …
Spliced images detection by using Viola-Jones algorithms method
Photographs are measured to be a useful document that is used to stored life proceedings.
The new progress in the representation of image expurgation software cause image …
The new progress in the representation of image expurgation software cause image …
A new method to detect splicing image forgery using convolutional neural network
Recently, digital images have been considered the primary key for many applications, such
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …