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A survey on deep learning-based image forgery detection
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 …
and availability of digital devices such as cameras and cell phones, taking images has …
A review on surface modification techniques
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 …
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 …
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
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 …
necessary to develop recognition algorithms for this type of content. One of the most …
An efficient CNN model to detect copy-move image forgery
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 …
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 …
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)
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 …
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
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 …
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
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 …
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
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 …