Jade owl: Jpeg 2000 forensics by wavelet offset consistency analysis

Q Bammey - 2023 8th International Conference on Image …, 2023 - ieeexplore.ieee.org
In a world teeming with digital images, the credibility of visual data has become of
paramount importance. While it is now simpler than ever to manipulate an image for …

Online learning of oil leak anomalies in wind turbines with block-based binary reservoir

M Cardoni, DP Pau, L Falaschetti, C Turchetti… - Electronics, 2021 - mdpi.com
The focus of this work is to design a deeply quantized anomaly detector of oil leaks that may
happen at the junction between the wind turbine high-speed shaft and the external bracket …

The impact of jpeg compression on prior image noise

M Gardella, T Nikoukhah, Y Li… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
JPEG compression is widely used to store digital images and extensive studies analysed its
impact on the image quality; in particular the quantization noise and artefacts created by …

A multi-scale a contrario method for unsupervised image anomaly detection

M Tailanian, P Musé, Á Pardo - 2021 20th IEEE International …, 2021 - ieeexplore.ieee.org
Anomalies can be defined as any non-random structure which deviates from normality.
Anomaly detection methods reported in the literature are numerous and diverse, as what is …

[HTML][HTML] Deep-NFA: A deep a contrario framework for tiny object detection

A Ciocarlan, S Le Hegarat-Mascle, S Lefebvre… - Pattern Recognition, 2024 - Elsevier
The detection of tiny objects is a challenging task in computer vision. Conventional object
detection methods have difficulties in finding the balance between high detection rate and …

Robust infrared small target detection using self-supervised and a contrario paradigms

A Ciocarlan, SL Hégarat-Mascle, S Lefebvre… - arXiv preprint arXiv …, 2024 - arxiv.org
Detecting small targets in infrared images poses significant challenges in defense
applications due to the presence of complex backgrounds and the small size of the targets …

A Contrario Paradigm for Yolo-Based Infrared Small Target Detection

A Ciocarlan, S Le Hegarat-Mascle… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Detecting small to tiny targets in infrared images is a challenging task in computer vision,
especially when it comes to differentiating these targets from noisy or textured backgrounds …

Paradigm for YOLO-based Infrared Small Target Detection

A Ciocarlan, SL Hégarat-Mascle, S Lefebvre… - arXiv preprint arXiv …, 2024 - arxiv.org
Detecting small to tiny targets in infrared images is a challenging task in computer vision,
especially when it comes to differentiating these targets from noisy or textured backgrounds …

A contrario multi-scale anomaly detection method for industrial quality inspection

M Tailanian, P Musé, Á Pardo - Deep Learning Applications, Volume 4, 2022 - Springer
Anomalies can be defined as any non-random structure that deviates from normality.
Anomaly detection methods reported in the literature are numerous and diverse, as what is …

Détection de petites cibles par apprentissage profond et critère a contrario

A Ciocarlan, S Le Hégarat-Mascle, S Lefebvre… - GRETSI 2022, 2022 - hal.science
La détection de petites cibles est une problématique délicate mais essentielle dans le
domaine de la défense, notamment lorsqu'il s' agit de différencier ces cibles d'un fond bruité …