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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 …
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 …
Detection and localization of image forgeries using resampling features and deep learning
Resampling is an important signature of manipulated images. In this paper, we propose two
methods to detect and localize image manipulations based on a combination of resampling …
methods to detect and localize image manipulations based on a combination of resampling …
Fast adaptive bilateral filtering
In the classical bilateral filter, a fixed Gaussian range kernel is used along with a spatial
kernel for edge-preserving smoothing. We consider a generalization of this filter, the so …
kernel for edge-preserving smoothing. We consider a generalization of this filter, the so …
Encoder-decoder based convolutional neural networks for image forgery detection
Today, images editing software has greatly evolved, thanks to them that the semantic
manipulation of images has become easier. On the other hand, the identification of these …
manipulation of images has become easier. On the other hand, the identification of these …
No-reference quality assessment of deblocked images
JPEG is the most commonly used image compression standard. In practice, JPEG images
are easily subject to blocking artifacts at low bit rates. To reduce the blocking artifacts, many …
are easily subject to blocking artifacts at low bit rates. To reduce the blocking artifacts, many …
Boosting image forgery detection using resampling features and copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling, cloning, region
removal and other methods. While resampling detection algorithms are effective in detecting …
removal and other methods. While resampling detection algorithms are effective in detecting …
Learning structural regularity for evaluating blocking artifacts in JPEG images
Image degradation damages genuine visual structures and causes pseudo structures.
Pseudo structures are usually present with regularities. This letter proposes a machine …
Pseudo structures are usually present with regularities. This letter proposes a machine …
Seven challenges for image quality research
Image quality assessment has been a topic of recent intense research due to its usefulness
in a wide variety of applications. Owing in large part to efforts within the HVEI community …
in a wide variety of applications. Owing in large part to efforts within the HVEI community …
A joint sparse representation and low rank prior regularization model for image deblocking
S Liu, S Tian, J Cao - Optik, 2023 - Elsevier
When the compression quality factor (QF) is low, JPEG images are usually accompanied by
very severe block artifacts. The conventional image deblocking models based on low-rank …
very severe block artifacts. The conventional image deblocking models based on low-rank …