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Publications associées (27)
Single-Photon Avalanche Diode Image Sensors for Harsh Radiation Environments
The space industry has experienced substantial growth in recent years, leading to rapid advancements in space exploration and space-based technologies. Consequently, the study of electronics and sensor performance in extreme environments has become crucial ...
EPFL2024Ex 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 York2023Deep learning-based galaxy image deconvolution
Frédéric Courbin, Pascale Jablonka, Jean-Luc Starck, Utsav Akhaury, Kevin Michalewicz
With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different images. A powerful and accessible deconvolution method woul ...
FRONTIERS MEDIA SA2022Spatially-Variant CNN-Based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy
Michael Stefan Daniel Liebling, Adrian Shajkofci
Optical microscopy is an essential tool in biology and medicine. Imaging thin, yet non-flat objects in a single shot (without relying on more sophisticated sectioning setups) remains challenging as the shallow depth of field that comes with high-resolution ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC20203-Dimensional Ultrasound Imaging for Medical Telesonography: Algorithms and Architectures
Aya Mohamed Naguib Ahmed Ibrahim
Enabling telemedicine in Ultrasound (US) imaging, i.e. telesonography, is until today just a wish. Although US has incomparable advantages such as safety in use, lower cost and complexity, and capability to be utilized in many applications, it is limited i ...
EPFL2018Fast Segmentation from Blurred Data in 3D Fluorescence Microscopy
Michaël Unser, Martin Kurt Storath
We develop a fast algorithm for segmenting 3D images from linear measurements based on the Potts model (or piecewise constant Mumford-Shah model). To that end, we first derive suitable space discretizations of the 3D Potts model, which are capable of deali ...
2017Beamforming-deconvolution: A novel concept of deconvolution for ultrasound imaging
Jean-Philippe Thiran, Yves Wiaux, Adrien Georges Jean Besson
In ultrasound (US) imaging, beamforming is usually separated from the deconvolution or some other post-processing techniques. The former processes raw data to build radio-frequency (RF) images while the latter restore high-resolution images, denoted as tis ...
2017Enhancing local-Transmitting less-Improving global
Martin Vetterli, Benjamin Bejar Haro
Super-resolving a natural image is an ill-posed problem. The classical approach is based on the registration and subsequent interpolation of a given set of low-resolution images. However, achieving satisfactory results typically requires the combination of ...
IEEE2015A SENSITIVITY ANALYSIS ON GLARE DETECTION PARAMETERS
Marilyne Andersen, Jan Wienold, Mandana Sarey Khanie
Existing methods for glare-free daylighting design rely on analyses of physically based lighting simulations employing tools such as Radiance. The rendered image is an accumulation of luminance values from a fixed point of view, which creates a basis for l ...
2015Image processing on reconfigurable hardware for continuous monitoring of fluorescent biomarkers in cell cultures
Fluorescence microscopy is a widespread tool in biological research. It is the primary modality for bioimaging and empowers the study and analysis of multitudes of biological processes. It can be applied to fixed biosamples, that is samples with frozen bio ...
EPFL2015