Publications associées à Supersampling

Mikhail Kapralov, Mikhail Makarov, Jakab Tardos

A motif is a frequently occurring subgraph of a given directed or undirected graph G (Milo et al.). Motifs capture higher order organizational structure of G beyond edge relationships, and, therefore, have found wide applications such as in graph clusterin ...

IEEE COMPUTER SOC2022

Hessian Splines For Scanning Transmission X-Ray Microscopy

Michaël Unser, Thomas Jean Debarre

Scanning transmission X-ray microscopy (STXM) produces images in which each pixel value is related to the measured attenuation of an X-ray beam. In practice, the location of the illuminated region does not exactly match the desired uniform pixel grid. This ...

IEEE2020

New architecture for the analog front-end of Medipix4

Jean-Michel Sallese, Adil Koukab, Viros Sriskaran

The Medipix4 chip is the latest member of the family of Medipix pixel detector readout chips aimed at high rate spectroscopic X-ray imaging. Unlike its predecessors, it will be possible to tile the chip on all 4 sides permitting seamless large area coverag ...

ELSEVIER2020

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

Volkan Cevher, Cosimo Aprile, Yusuf Leblebici, Luca Baldassarre

This work presents an area and power efficient encoding system for wireless implantable devices capable of monitoring the electrical activity of the brain. Such devices are becoming an important tool for understanding, real-time monitoring, and potentially ...

2017

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation

Michaël Unser, John Paul Ward

To address the classic interior tomography problem where projections at each view extend only to the shadow of a circular region completely interior to the subject being scanned, previously we showed that the exact recovery of two- and three-dimensional pi ...

Siam Publications2015

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

Martin Vetterli, Robin Scheibler, Saeid Haghighatshoar

In this paper, we design a new iterative low-complexity algorithm for computing the Walsh-Hadamard transform (WHT) of an N dimensional signal with a K-sparse WHT. We suppose that N is a power of two and K = O(N^α), scales sub-linearly in N for some α ∈ (0, ...

Institute of Electrical and Electronics Engineers2015

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Isaac Amidror

Sampling moiré effects are well known in signal processing. They occur when a continuous periodic signal g(x) is sampled using a sampling frequency fs that does not respect the Nyquist condition, and the signal frequency f folds-over and gives a new, false ...

The Royal Society Publishing2015

Jaggies as aliasing or reconstruction phenomena: a tutorial

Roger Hersch, Isaac Amidror

Jaggies (staircasing effects) along slanted lines or curved edges are omnipresent in digital imaging. They are so widespread in digital display devices that very often they are associated with the modern "computerized" world (and sometimes even intentional ...

Is&T & Spie2014

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Supersampling

Motif Cut Sparsifiers

Hessian Splines For Scanning Transmission X-Ray Microscopy

New architecture for the analog front-end of Medipix4

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

Learning Data Triage: Linear Decoding Works for Compressive MRI

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Rendering Glints on High-resolution Normal-mapped Specular Surfaces

Jaggies as aliasing or reconstruction phenomena: a tutorial

Graph Chatbot

Chattez avec Graph Search

Motif Cut Sparsifiers

Learning Data Triage: Linear Decoding Works for Compressive MRI

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

Hessian Splines For Scanning Transmission X-Ray Microscopy

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

New architecture for the analog front-end of Medipix4

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Rendering Glints on High-resolution Normal-mapped Specular Surfaces

Jaggies as aliasing or reconstruction phenomena: a tutorial