Copy-move and splicing image forgery detection and localization techniques: a review
Digital image acquisition is now a simple task and information in the form of digital images is
drastically increasing on social media, which has both positive and negative impacts on a …
drastically increasing on social media, which has both positive and negative impacts on a …
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 …
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 …
Fusion of block and keypoints based approaches for effective copy-move image forgery detection
Keypoint-based and block-based methods are two main categories of techniques for
detecting copy-move forged images, one of the most common digital image forgery …
detecting copy-move forged images, one of the most common digital image forgery …
[PDF][PDF] Splicing image forgery detection and localization based on color edge inconsistency using statistical dispersion measures
M Habibi, H Hassanpour - International Journal of Engineering, 2021 - ije.ir
Nowadays, due to the availability of low-cost and high-resolution digital cameras, and the
rapid growth of user-friendly and advanced digital image processing tools, challenges for …
rapid growth of user-friendly and advanced digital image processing tools, challenges for …
A two-stage localization for copy-move forgery detection
CM Pun, JL Chung - Information Sciences, 2018 - Elsevier
A two-stage localization for copy-move forgery detection (CMFD) is proposed in this paper.
In the first stage, rough localization, Simple Linear Iterative Clustering (SLIC) is employed to …
In the first stage, rough localization, Simple Linear Iterative Clustering (SLIC) is employed to …
Two stages object recognition based copy-move forgery detection algorithm
Abstract Copy-Move Forgery Detection (CMFD) is a key issue of image forensics. A copy-
move forgery is a type of image tampering that is created by copying a part of the image and …
move forgery is a type of image tampering that is created by copying a part of the image and …
Comparative study of copy-move forgery detection techniques
Digital images and their applications gained a huge interest around the world in several
fields like newspapers, social media, defaming persons, and courts. There are two types of …
fields like newspapers, social media, defaming persons, and courts. There are two types of …
Single and multiple regions duplication detections in digital images with applications in image forensic
'With the help of powerful image editing software, various image modifications are possible
which are known as image forgeries. Copy-move is the easiest way of image manipulation …
which are known as image forgeries. Copy-move is the easiest way of image manipulation …