Hybrid lstm and encoder–decoder architecture for detection of image forgeries

JH Bappy, C Simons, L Nataraj… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

Exploiting spatial structure for localizing manipulated image regions

JH Bappy, AK Roy-Chowdhury… - Proceedings of the …, 2017 - openaccess.thecvf.com
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 …

Detection and localization of image forgeries using resampling features and deep learning

J Bunk, JH Bappy, TM Mohammed… - … IEEE conference on …, 2017 - ieeexplore.ieee.org
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 …

Fast adaptive bilateral filtering

RG Gavaskar, KN Chaudhury - IEEE transactions on Image …, 2018 - ieeexplore.ieee.org
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 …

Encoder-decoder based convolutional neural networks for image forgery detection

FZ El Biach, I Iala, H Laanaya, K Minaoui - Multimedia Tools and …, 2022 - Springer
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 …

No-reference quality assessment of deblocked images

L Li, Y Zhou, W Lin, J Wu, X Zhang, B Chen - Neurocomputing, 2016 - Elsevier
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 …

Boosting image forgery detection using resampling features and copy-move analysis

TM Mohammed, J Bunk, L Nataraj, JH Bappy… - arxiv preprint arxiv …, 2018 - arxiv.org
Realistic image forgeries involve a combination of splicing, resampling, cloning, region
removal and other methods. While resampling detection algorithms are effective in detecting …

Learning structural regularity for evaluating blocking artifacts in JPEG images

L Li, W Lin, H Zhu - IEEE Signal Processing Letters, 2014 - ieeexplore.ieee.org
Image degradation damages genuine visual structures and causes pseudo structures.
Pseudo structures are usually present with regularities. This letter proposes a machine …

Seven challenges for image quality research

DM Chandler, MM Alam… - Human Vision and …, 2014 - spiedigitallibrary.org
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 …

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 …