An adaptive neural network for unsupervised mosaic consistency analysis in image forensics
Automatically finding suspicious regions in a potentially forged image by splicing, inpainting
or copy-move remains a widely open problem. Blind detection neural networks trained on …
or copy-move remains a widely open problem. Blind detection neural networks trained on …
Diffusion models meet image counter-forensics
From its acquisition in the camera sensors to its storage, different operations are performed
to generate the final image. This pipeline imprints specific traces into the image to form a …
to generate the final image. This pipeline imprints specific traces into the image to form a …
Design of the color classification system for sunglass lenses using PCA-PSO-ELM
H Jian, Q Lin, J Wu, X Fan, X Wang - Measurement, 2022 - Elsevier
Color deviation of the sunglass lens brings many problems to the pairing of sunglasses. In
order to accurately classify the sunglass lens by color depth, a data acquisition system …
order to accurately classify the sunglass lens by color depth, a data acquisition system …
[HTML][HTML] Forgery detection in digital images by multi-scale noise estimation
A complex processing chain is applied from the moment a raw image is acquired until the
final image is obtained. This process transforms the originally Poisson-distributed noise into …
final image is obtained. This process transforms the originally Poisson-distributed noise into …
An improved algorithm for digital image authentication and forgery localization using demosaicing artifacts
N Le, F Retraint - IEEE Access, 2019 - ieeexplore.ieee.org
This paper focuses on the digital image authentication and forgery localization using
demosaicing artifacts. The aim is to build an algorithm allowing a bridge between the color …
demosaicing artifacts. The aim is to build an algorithm allowing a bridge between the color …
A contrario mosaic analysis for image forensics
Q Bammey - International Conference on Advanced Concepts for …, 2023 - Springer
With the advent of recent technologies, image editing has become accessible even without
expertise. However, this ease of manipulation has given rise to malicious manipulation of …
expertise. However, this ease of manipulation has given rise to malicious manipulation of …
Mining collaborative spatio-temporal clues for face forgery detection
Face forgery detection has been a widespread issue recently due to the adverse effects of
face forgery techniques on social media. The state-of-the-art deep learning based methods …
face forgery techniques on social media. The state-of-the-art deep learning based methods …
Forgery detection by internal positional learning of demosaicing traces
Abstract We propose 4Point (Forensics with Positional Internal Training), an unsupervised
neural network trained to assess the consistency of the image colour mosaic to find …
neural network trained to assess the consistency of the image colour mosaic to find …
Non-semantic evaluation of image forensics tools: Methodology and database
We propose a new method to evaluate image forensics tools, that characterizes what image
cues are being used by each detector. Our method enables effortless creation of an …
cues are being used by each detector. Our method enables effortless creation of an …
Analysis and experimentation on the ManTraNet image forgery detector
Q Bammey - Image Processing On Line, 2022 - ipol.im
This work describes the ManTraNet network for image forgery detection. ManTraNet is an
end-to-end convolutional neural network composed of two sub-networks, one to extract …
end-to-end convolutional neural network composed of two sub-networks, one to extract …