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Copy-move forgery detection: survey, challenges and future directions
The authenticity and reliability of digital images are increasingly important due to the ease in
modifying such images. Thus, the capability to identify image manipulation is a current …
modifying such images. Thus, the capability to identify image manipulation is a current …
A comprehensive survey of image and video forgery techniques: variants, challenges, and future directions
With the advent of Internet, images and videos are the most vulnerable media that can be
exploited by criminals to manipulate for hiding the evidence of the crime. This is now easier …
exploited by criminals to manipulate for hiding the evidence of the crime. This is now easier …
Hybrid lstm and encoder–decoder architecture for detection of image forgeries
With advanced image journaling tools, one can easily alter the semantic meaning of an
image by exploiting certain manipulation techniques such as copy clone, object splicing …
image by exploiting certain manipulation techniques such as copy clone, object splicing …
Busternet: Detecting copy-move image forgery with source/target localization
We introduce a novel deep neural architecture for image copy-move forgery detection
(CMFD), code-named BusterNet. Unlike previous eorts, BusterNet is a pure, end-to-end …
(CMFD), code-named BusterNet. Unlike previous eorts, BusterNet is a pure, end-to-end …
Image tampering localization using a dense fully convolutional network
The emergence of powerful image editing software has substantially facilitated digital image
tampering, leading to many security issues. Hence, it is urgent to identify tampered images …
tampering, leading to many security issues. Hence, it is urgent to identify tampered images …
DOA-GAN: Dual-order attentive generative adversarial network for image copy-move forgery detection and localization
Images can be manipulated for nefarious purposes to hide content or to duplicate certain
objects through copy-move operations. Discovering a well-crafted copy-move forgery in …
objects through copy-move operations. Discovering a well-crafted copy-move forgery in …
An end-to-end dense-inceptionnet for image copy-move forgery detection
A novel image copy-move forgery detection scheme using a Dense-InceptionNet is
proposed in this paper. Dense-InceptionNet is an end-to-end, multi-dimensional dense …
proposed in this paper. Dense-InceptionNet is an end-to-end, multi-dimensional dense …
Self-adversarial training incorporating forgery attention for image forgery localization
Image editing techniques enable people to modify the content of an image without leaving
visual traces and thus may cause serious security risks. Hence the detection and localization …
visual traces and thus may cause serious security risks. Hence the detection and localization …
A serial image copy-move forgery localization scheme with source/target distinguishment
In this paper, we improve the parallel deep neural network (DNN) scheme BusterNet for
image copy-move forgery localization with source/target region distinguishment. BusterNet …
image copy-move forgery localization with source/target region distinguishment. BusterNet …
Statistical features based optimized technique for copy move forgery detection
Copy Move Forgery Detection (CMFD) is helpful to detect copied and pasted areas in one
image, it plays a crucial role in legal evidence, forensic investigation and in many more …
image, it plays a crucial role in legal evidence, forensic investigation and in many more …