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 …
[HTML][HTML] A novel deep learning framework for copy-moveforgery detection in images
In this era of technology, digital images turn out to be ubiquitous in a contemporary society
and they can be generated and manipulated by a wide variety of hardware and software …
and they can be generated and manipulated by a wide variety of hardware and software …
A comprehensive survey on methods for image integrity
The outbreak of digital devices on the Internet, the exponential diffusion of data (images,
video, audio, and text), along with their manipulation/generation also by artificial intelligence …
video, audio, and text), along with their manipulation/generation also by artificial intelligence …
Image forgery detection: comprehensive review of digital forensics approaches
Image is a powerful way to share information in the digital world. The sources of images are
everywhere, magazines, newspapers, healthcare, entertainment, education, social media …
everywhere, magazines, newspapers, healthcare, entertainment, education, social media …
Fake image detection in twitter using flood fill algorithm and deep neural networks
Background: One of the primary concerns in online social networks is fake image or fake
colorized image diffusion, which allows anyone to add, remove, and alter the images …
colorized image diffusion, which allows anyone to add, remove, and alter the images …
Lightweight deep learning model for detection of copy-move image forgery with post-processed attacks
As digital image forgery can be alarmingly detrimental, therefore, an insight into detection
and classification of tampered digital images is of paramount importance. Without …
and classification of tampered digital images is of paramount importance. Without …
Deep learning based algorithm (ConvLSTM) for copy move forgery detection
Protecting information from manipulation is important challenge in current days. Digital
images are one of the most popular information representation. Images could be used in …
images are one of the most popular information representation. Images could be used in …
Unveiling digital image forgeries using Markov based quaternions in frequency domain and fusion of machine learning algorithms
Nowadays, digital images have been manipulated for various fraudulent purposes from time
to time. Therefore, proposing a detection algorithm for such manipulations has become a …
to time. Therefore, proposing a detection algorithm for such manipulations has become a …
Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis
In the contemporary digital era, images are omnipresent, serving as pivotal entities in
conveying information, authenticating experiences, and substantiating facts. The ubiquity of …
conveying information, authenticating experiences, and substantiating facts. The ubiquity of …
A survey on traditional and deep learning copy move forgery detection (CMFD) techniques
Digital image forgeries become one of the most challenges faced by technology users today.
A copy-move forgery is one of the most common types of these forgeries. This type is not …
A copy-move forgery is one of the most common types of these forgeries. This type is not …