most citedHigh-Order Synchrosqueezing Transform for Multicomponent Signals Analysis -- With an Application to Gravitational-Wave Signal

518 citations · 524 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2024★ 6 cited

Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth

Arthur Floquet, Sayantan Dutta, Emmanuel Soubies +2

Denoising is omnipresent in image processing. It is usually addressed with algorithms relying on a set of hyperparameters that control the quality of the recovered image. Manual tu…

eess.IV2020

Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem

Duong-Hung Pham, Adrian Basarab, Jean-Pierre Remenieras +2

This paper introduces a computationally efficient technique for estimating high-resolution Doppler blood flow from an ultrafast ultrasound image sequence. More precisely, it consis…

eess.IV2020

A Novel Fast 3D Single Image Super-Resolution Algorithm

Nwigbo Kenule Tuador, Duong Hung Pham, Jérôme Michetti +2

This paper introduces a novel computationally efficient method of solving the 3D single image super-resolution (SR) problem, i.e., reconstruction of a high-resolution volume from i…

eess.IV2020

Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging

Duong-Hung Pham, Adrian Basarab, Ilyess Zemmoura +2

This paper addresses the problem of high-resolution Doppler blood flow estimation from an ultrafast sequence of ultrasound images. Formulating the separation of clutter and blood c…

eess.SP2020★ 518 cited

High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis -- With an Application to Gravitational-Wave Signal

Duong-Hung Pham, Sylvain Meignen

This study puts forward a generalization of the short-time Fourier-based Synchrosqueezing Transform using a new local estimate of instantaneous frequency. Such a technique enables…