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 …

A review on surface modification techniques

S Singh, S Kumar, V Khanna - Materials Today: Proceedings, 2023 - Elsevier
In modern industry different techniques are used to protect the material from degradation
exposed to chemical or mechanical damage. Most of the manufacturing and service …

Image forgery detection: a survey of recent deep-learning approaches

M Zanardelli, F Guerrini, R Leonardi… - Multimedia Tools and …, 2023 - Springer
In the last years, due to the availability and easy of use of image editing tools, a large
amount of fake and altered images have been produced and spread through the media and …

Copy-move forgery detection (CMFD) using deep learning for image and video forensics

Y Rodriguez-Ortega, DM Ballesteros, D Renza - Journal of imaging, 2021 - mdpi.com
With the exponential growth of high-quality fake images in social networks and media, it is
necessary to develop recognition algorithms for this type of content. One of the most …

An efficient CNN model to detect copy-move image forgery

KM Hosny, AM Mortda, MM Fouda, NA Lashin - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, digital images have become used in many applications, where they have become
the focus of digital image processing researchers. Image forgery represents one hot topic on …

Dual branch convolutional neural network for copy move forgery detection

N Goel, S Kaur, R Bala - IET Image Processing, 2021 - Wiley Online Library
The advent of digital era has seen a rise in the cases of illegal copying, distribution and
forging of images. Even the most secure data channels sometimes suffer to validate the …

Copy move forgery detection and segmentation using improved mask region-based convolution network (RCNN)

T Nazir, M Nawaz, M Masood, A Javed - Applied Soft Computing, 2022 - Elsevier
Copy-move forgery (CMF) is a common image manipulation approach that uses the
information from the same sample to manipulate it with the intent of hiding the required …

Detection of copy-move forgery in digital image using multi-scale, multi-stage deep learning model

AK Jaiswal, R Srivastava - Neural Processing Letters, 2022 - Springer
Images are an important source of information and copy-move forgery (CMF) is one of the
vicious forgery attacks. Its objective is to conceal sensitive information from the image …

[Retracted] Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R‐CNN with MobileNet V1

KD Kadam, S Ahirrao, K Kotecha - Computational Intelligence …, 2022 - Wiley Online Library
With the technological advancements of the modern era, the easy availability of image
editing tools has dramatically minimized the costs, expense, and expertise needed to exploit …

QDL-CMFD: a quality-independent and deep learning-based copy-move image forgery detection method

M Aria, M Hashemzadeh, N Farajzadeh - Neurocomputing, 2022 - Elsevier
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 …