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Digital image forgery detection using passive techniques: A survey
Today manipulation of digital images has become easy due to powerful computers,
advanced photo-editing software packages and high resolution capturing devices. Verifying …
advanced photo-editing software packages and high resolution capturing devices. Verifying …
An overview on image forensics
A Piva - International Scholarly Research Notices, 2013 - Wiley Online Library
The aim of this survey is to provide a comprehensive overview of the state of the art in the
area of image forensics. These techniques have been designed to identify the source of a …
area of image forensics. These techniques have been designed to identify the source of a …
Explicit visual prompting for low-level structure segmentations
We consider the generic problem of detecting low-level structures in images, which includes
segmenting the manipulated parts, identifying out-of-focus pixels, separating shadow …
segmenting the manipulated parts, identifying out-of-focus pixels, separating shadow …
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 …
Fighting fake news: Image splice detection via learned self-consistency
Advances in photo editing and manipulation tools have made it significantly easier to create
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …
Identification of deep network generated images using disparities in color components
With the powerful deep network architectures, such as generative adversarial networks, one
can easily generate photorealistic images. Although the generated images are not …
can easily generate photorealistic images. Although the generated images are not …
[HTML][HTML] Image forgery detection using deep learning by recompressing images
Capturing images has been increasingly popular in recent years, owing to the widespread
availability of cameras. Images are essential in our daily lives because they contain a wealth …
availability of cameras. Images are essential in our daily lives because they contain a wealth …
Median filtering forensics based on convolutional neural networks
Median filtering detection has recently drawn much attention in image editing and image anti-
forensic techniques. Current image median filtering forensics algorithms mainly extract …
forensic techniques. Current image median filtering forensics algorithms mainly extract …
Exploiting spatial structure for localizing manipulated image regions
The advent of high-tech journaling tools facilitates an image to be manipulated in a way that
can easily evade state-of-the-art image tampering detection approaches. The recent …
can easily evade state-of-the-art image tampering detection approaches. The recent …
Context-aware image matting for simultaneous foreground and alpha estimation
Natural image matting is an important problem in computer vision and graphics. It is an ill-
posed problem when only an input image is available without any external information …
posed problem when only an input image is available without any external information …