A survey on deep learning-based image forgery detection

FZ Mehrjardi, AM Latif, MS Zarchi, R Sheikhpour - Pattern Recognition, 2023 - Elsevier
Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …

Copy-move forgery detection: A state-of-the-art technical review and analysis

S Teerakanok, T Uehara - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents the state-of-the-art technical reviews and analysis of recent copy-move
forgery detection (CMFD) techniques. A new CMFD process pipeline was introduced. In …

Efficient detection of copy-move forgery using polar complex exponential transform and gradient direction pattern

SBGT Babu, CS Rao - Multimedia Tools and Applications, 2023 - Springer
Evidence plays a vital role in image forensics. If evidence is an image, then its authenticity
verification is the key to image forensics. One of the common forgeries in digital images is …

Fusion of handcrafted and deep features for forgery detection in digital images

S Walia, K Kumar, M Kumar, XZ Gao - IEEE Access, 2021 - ieeexplore.ieee.org
Content authentication of digital images has captured the attention of forensic experts and
security researchers due to a multi-fold increase in the dissemination of multimedia data …

Copy move and splicing forgery detection using deep convolution neural network, and semantic segmentation

Abhishek, N Jindal - Multimedia Tools and Applications, 2021 - Springer
Image forgeries can be detected and localized by using deep convolution neural network,
and semantic segmentation. Color illumination is used to apply color map after pre …

[HTML][HTML] A fast SIFT based method for copy move forgery detection

HA Alberry, AA Hegazy, GI Salama - Future Computing and Informatics …, 2018 - Elsevier
Image forensics is an important area of research used to indicate if a particular image is
original or subjected to any kind of tampering. Images are essential part of judgment in …

A technique for image splicing detection using hybrid feature set

AK Jaiswal, R Srivastava - Multimedia Tools and Applications, 2020 - Springer
Image manipulation has no longer been rocket science for non-professionals. Tampering of
images has become so popular due to the accessibility of free editing application in smart …

An image copy-move forgery detection method based on SURF and PCET

C Wang, Z Zhang, Q Li, X Zhou - IEEE Access, 2019 - ieeexplore.ieee.org
With the maturity of image editing software, image content has been forged frequently,
posing potential threats to many critical fields. To detect forgery images effectively, this paper …

An efficient copy move forgery detection using deep learning feature extraction and matching algorithm

R Agarwal, OP Verma - Multimedia Tools and Applications, 2020 - Springer
The image forgery activities are on the rise because of the development of various image
editing tools. Such activities are done by attackers with intentions of defaming people and …

Fast and effective Keypoint-based image copy-move forgery detection using complex-valued moment invariants

P Niu, C Wang, W Chen, H Yang, X Wang - Journal of Visual …, 2021 - Elsevier
Copy-move forgery is one of the most common image tampering schemes, with the potential
use for misleading the opinion of the general public. Keypoint-based detection methods …