Concept
Retouche numérique
Publications associées (864)
Aggregating Spatial and Photometric Context for Photometric Stereo
Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...
EPFL2024Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment
Jan Skaloud, Davide Antonio Cucci, Aurélien Arnaud Brun, Kyriaki Mouzakidou
Tightly-coupled sensor orientation, i.e. the simultaneous processing of temporal (GNSS and raw inertial) and spatial (image and lidar) constraints in a common adjustment, has demonstrated significant improvement in the quality of attitude determination wit ...
2024Inverse Problems in Pulse-Echo Ultrasound: Exploiting Coherence for Image Enhancement and Quantitative Imaging
Whereas pulse-echo ultrasound imaging relied on focused acoustic waves since its inception, the last two decades have seen the development of techniques based on unfocused waves, including ultrafast ultrasound imaging. In large part due to the emergence of ...
EPFL2024Assessment framework for deepfake detection in real-world situations
Detecting digital face manipulation in images and video has attracted extensive attention due to the potential risk to public trust. To counteract the malicious usage of such techniques, deep learning-based deepfake detection methods have been employed and ...
2024Micro modeling of irregular stone masonry walls using mathematical programming
Katrin Beyer, Qianqing Wang, Ketson Roberto Maximiano Dos Santos
While understanding the shear strength of stone masonry structures is important for the design and the mainte- nance, we still lack computational tools for predicting the strength as a function of the stone layout. Here we implement an end-to-end image bas ...
Springer2024Let the wind take care of everything
Over a period of five years, photography students from the advanced training in photography at the Centre d’Enseignement Professionnel de Vevey (CEPV) engaged in parallel exploration with students from the Atelier de la Conception de l’Espace (ALICE) in th ...
Mörel Books2023A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning
Ultrafast ultrasound imaging, characterized by high frame rates, generates low-quality images. Convolutional neural networks (CNNs) have demonstrated great potential to enhance image quality without compromising the frame rate. However, CNNs have been most ...
2023On the assessment of high-quality images: advances on the JPEG AIC-3 activity
Touradj Ebrahimi, Evgeniy Upenik, Michela Testolina
Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...
2023Ex uno plures: how to construct high-speed movies of collapsing cavitation bubbles from a single image
Mohamed Farhat, Davide Bernardo Preso, Armand Baptiste Sieber
The time-resolved visualization of the dynamics of a cavitation bubble usually requires the use of expensive high-speed cameras, which often provide a limited spatial resolution. In the present study, we propose an alternative to these high-speed imaging t ...
New York2023Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection
In the context of automatic visual inspection of infrastructures by drones, Deep Learning (DL) models are used to automatically process images for fault diagnostics. While explainable Artificial Intelligence (AI) algorithms can provide explanations to asse ...
Research Publishing2023