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 …
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 …
Copy move and splicing forgery detection using deep convolution neural network, and semantic segmentation
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 …
and semantic segmentation. Color illumination is used to apply color map after pre …
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 …
Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model
S Vaishali, S Neetu - Multimedia Tools and Applications, 2024 - Springer
The rapid proliferation of high-quality false images on social media sites calls for research
on legitimate image recognition systems. Copy-move forgery (CMF), which involves copying …
on legitimate image recognition systems. Copy-move forgery (CMF), which involves copying …
A deep learning framework for copy-move forgery detection in digital images
Digital images have become widespread in modern life, and they can be modified and
produced using an inclusive range of software and hardware tools. Since, digital image …
produced using an inclusive range of software and hardware tools. Since, digital image …
Frame duplication and shuffling forgery detection technique in surveillance videos based on temporal average and gray level co-occurrence matrix
Nowadays, due to the increasing crime and theft around the world, surveillance security
systems play an important role. On the other hand, the availability of video editing tools has …
systems play an important role. On the other hand, the availability of video editing tools has …
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 …
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 …
AI-enabled digital forgery analysis and crucial interactions monitoring in smart communities
Digital forgery has become one of the attractive research fields in today's technology. There
are several types of forgery in digital media transmission, especially digital image …
are several types of forgery in digital media transmission, especially digital image …