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Design optimization for low light CMOS image sensors readout chain

Related publications (111)

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Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

Sabine Süsstrunk, Majed El Helou

Blind and universal image denoising consists of using a unique model that denoises images with any level of noise. It is especially practical as noise levels do not need to be known when the model is developed or at test time. We propose a theoretically-gr ...

IEEE2020

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

Sabine Süsstrunk, Majed El Helou

Blind and universal image denoising consists of a unique model that denoises images with any level of noise. It is especially practical as noise levels do not need to be known when the model is developed or at test time. We propose a theoretically-grounded ...

2019

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Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly used in many diverse applications. We address the problem of jointly recoverin ...

IEEE2019

Global Solutions To Stochastic Reaction-Diffusion Equations With Super-Linear Drift And Multiplicative Noise

Robert Dalang, Davar Khoshnevisan

Let xi(t, x) denote space-time white noise and consider a reaction-diffusion equation of the form (t, x) = 1/2u ''(t, x) + b(u(t, x)) + sigma(u(t,x))xi(t,x) on R+ x [0, 1], with homogeneous Dirichlet boundary conditions and suitable initial d ...

INST MATHEMATICAL STATISTICS2019

Thermorefractive noise in silicon-nitride microresonators

Tobias Kippenberg, Guanhao Huang, Junqiu Liu, Erwan Guillaume Albert Lucas, Arslan Sajid Raja, Nils Johan Engelsen

Thermodynamic noise places a fundamental limit on the frequency stability of dielectric optical resonators. Here, we present the characterization of thermorefractive noise in photonic-chip-based silicon-nitride (Si3N4) microresonators and show that thermor ...

AMER PHYSICAL SOC2019

Reducing Noise in GAN Training with Variance Reduced Extragradient

François Fleuret, Tatjana Chavdarova

We study the effect of the stochastic gradient noise on the training of generative adversarial networks (GANs) and show that it can prevent the convergence of standard game optimization methods, while the batch version converges. We address this issue with ...

2019

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Different types of variable speed limit (VSL) controllers have been proposed to improve the traffic mobility at highway bottlenecks. However, the benefit of VSL is sometimes deteriorated by the capacity drop phenomenon introduced by the disordered lane cha ...

IEEE2018

The current LHCb detector will continue collecting data until the long shutdown 2 (2019/2020). It will be upgraded in order to operate at higher luminosity. To achieve this, two major changes are required. First the Level-0 hardware trigger limited to 1,M ...

EPFL2018

An Accurate kTC Noise Analysis of CDS Circuits

Christian Enz, Assim Boukhayma, Antonino Caizzone

This work presents an analytical analysis of the thermal noise in widely used correlated double-sampling (CDS) circuits. The objective is to provide designers with simplified noise formulas essential for the design and optimization of such blocks. The obta ...

IEEE2018

Analysis of CMS noise reduction for 65 nm CIS

Christian Enz, Assim Boukhayma, Raffaele Capoccia

This work explores the combination of a downscaled technology with in-pixel source-follower (SF) optimization, a high column-level gain and an analog implementation of Correlated-Multiple-Sampling (CMS) for noise reduction of CIS readout chains. Transient ...

2017