Publications related to Simulation of 1D ARPES Data and Measures to recover the underlying Signal

Statistical physics approaches to subnetwork dynamics in biochemical systems

We apply a Gaussian variational approximation to model reduction in large biochemical networks of unary and binary reactions. We focus on a small subset of variables (subnetwork) of interest, e.g. because they are accessible experimentally, embedded in a l ...

Iop Publishing Ltd2017

Direct unwrapped phase estimation in phase shifting interferometry using Levenberg-Marquardt algorithm

Pramod Rastogi, Rishikesh Dilip Kulkarni

An algorithm for the direct unwrapped phase estimation from the linearly phase shifted interferograms is presented. The temporal fringe intensity along each pixel is represented as a function of fringe amplitude, phase step and the searched phase. These pa ...

Iop Publishing Ltd2017

Temporal Readout Noise Analysis and Reduction Techniques for Low-Light CMOS Image Sensors

Christian Enz, Assim Boukhayma, Arnaud Peizerat

In this paper, an analytical noise calculation is presented to derive the impact of process and design parameters on 1/f and thermal noise for a low-noise CMOS image sensor (CIS) readout chain. It is shown that dramatic noise reduction is obtained by using ...

Institute of Electrical and Electronics Engineers2016

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Pramod Rastogi, Rishikesh Dilip Kulkarni

A noise filtering technique is proposed to filter the fringe pattern recorded in the optical measurement set-up. A single fringe pattern carrying the information on the measurand is treated as a data matrix which can either be complex or real valued. In th ...

2016

Ultra Low Noise CMOS Image Sensors

Assim Boukhayma

CMOS Image Sensors (CIS) overtook the charge coupled devices (CCDs) in low noise performance. Photoelectron counting capability is the next step for CIS for ultimate low light performance and new imaging paradigms. This work presents a review of CMOS image ...

EPFL2016

Modeling the Importance of Faces in Natural Images

Sabine Süsstrunk, Cheryl Shaulya Lau, Appu Shaji, Gökhan Yildirim, Bin Jin

In this work we study the varying importance of faces in images. Face importance is found to be affected by the size and number of faces present. We collected a dataset of 152 face images with faces in different size and number of faces. We conducted a cro ...

Spie-Int Soc Optical Engineering2015

Compute-and-Forward using nested linear codes for the Gaussian MAC

Michael Christoph Gastpar, Jingge Zhu

The classical modulo-lattice construction of Erez et al. has been successfully applied to several coding problems under Gaussian noise, including coding for computation over multiple-access channels (MAC). For the latter problem, an alternative constructio ...

2015

Design optimization for low light CMOS image sensors readout chain

Christian Enz, Assim Boukhayma

Email Print Request Permissions For a CIS readout chain based on 4T pixel, column amplification and CDS, we confirm that thermal noise can be reduced to be neglected compared to 1/f noise using parameters independent of the pixel design, namely column leve ...

2014

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Design and Implementation of CMOS Image Sensors for Biomedical Applications

Gözen Köklü

Since the first introduction of digital cameras, the camera market has been taking tremendous interest from many fields. This trend has even accelerated when the cost, size, and power consumption of such devices were reduced with the introduction of camera ...

EPFL2014

Simulation of 1D ARPES Data and Measures to recover the underlying Signal

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Statistical physics approaches to subnetwork dynamics in biochemical systems

Direct unwrapped phase estimation in phase shifting interferometry using Levenberg-Marquardt algorithm

Temporal Readout Noise Analysis and Reduction Techniques for Low-Light CMOS Image Sensors

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Ultra Low Noise CMOS Image Sensors

Modeling the Importance of Faces in Natural Images

Compute-and-Forward using nested linear codes for the Gaussian MAC

Design optimization for low light CMOS image sensors readout chain

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Design and Implementation of CMOS Image Sensors for Biomedical Applications

Statistical physics approaches to subnetwork dynamics in biochemical systems

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Design and Implementation of CMOS Image Sensors for Biomedical Applications

Temporal Readout Noise Analysis and Reduction Techniques for Low-Light CMOS Image Sensors

Direct unwrapped phase estimation in phase shifting interferometry using Levenberg-Marquardt algorithm

Ultra Low Noise CMOS Image Sensors

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Compute-and-Forward using nested linear codes for the Gaussian MAC

Design optimization for low light CMOS image sensors readout chain

Modeling the Importance of Faces in Natural Images