Search Results for author: Pier Luigi Dragotti

Found 16 papers, 4 papers with code

AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis

no code implementations23 Dec 2021 Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David Firmin, Guang Yang

Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process.

Light-Field Microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches

no code implementations24 Oct 2021 Pingfan Song, Herman Verinaz Jadan, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti

This paper is devoted to a comprehensive survey to state-of-the-art of computational methods for LFM, with a focus on model-based and data-driven approaches.

Privacy-Aware Communication Over the Wiretap Channel with Generative Networks

no code implementations8 Oct 2021 Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz

We study privacy-aware communication over a wiretap channel using end-to-end learning.

WINNet: Wavelet-inspired Invertible Network for Image Denoising

no code implementations14 Sep 2021 Jun-Jie Huang, Pier Luigi Dragotti

The proposed WINNet consists of K-scale of lifting inspired invertible neural networks (LINNs) and sparsity-driven denoising networks together with a noise estimation network.

Deblurring Image Deblurring +2

LINN: Lifting Inspired Invertible Neural Network for Image Denoising

1 code implementation7 May 2021 Jun-Jie Huang, Pier Luigi Dragotti

In this paper, we propose an invertible neural network for image denoising (DnINN) inspired by the transform-based denoising framework.

Image Denoising

Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary

no code implementations16 Feb 2021 Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz

We consider a user releasing her data containing some personal information in return of a service.

Privacy-Aware Time-Series Data Sharing with Deep Reinforcement Learning

no code implementations4 Mar 2020 Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz

We measure the privacy leakage by the mutual information between the user's true data sequence and shared version.

Time Series

Learning Deep Analysis Dictionaries -- Part II: Convolutional Dictionaries

no code implementations31 Jan 2020 Jun-Jie Huang, Pier Luigi Dragotti

By exploiting the properties of a convolutional dictionary, we present an efficient convolutional analysis dictionary learning approach.

Dictionary Learning Image Super-Resolution

Learning Deep Analysis Dictionaries for Image Super-Resolution

no code implementations31 Jan 2020 Jun-Jie Huang, Pier Luigi Dragotti

Inspired by the recent success of deep neural networks and the recent efforts to develop multi-layer dictionary models, we propose a Deep Analysis dictionary Model (DeepAM) which is optimized to address a specific regression task known as single image super-resolution.

Image Super-Resolution

Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution

1 code implementation ICCV 2019 Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti

In this paper, we propose a novel method based on wavelet domain style transfer (WDST), which achieves a better PD tradeoff than the GAN based methods.

Image Super-Resolution Style Transfer

Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion

no code implementations9 Oct 2019 Xin Deng, Pier Luigi Dragotti

In this paper, we propose a novel deep convolutional neural network to solve the general multi-modal image restoration (MIR) and multi-modal image fusion (MIF) problems.

Image Denoising Image Reconstruction +3

Privacy-Aware Location Sharing with Deep Reinforcement Learning

no code implementations17 Jul 2019 Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz

Existing approaches are mainly focused on privacy of sharing a single location or myopic location trace privacy; neither of them taking into account the temporal correlations between the past and current locations.

Information Theory Cryptography and Security Information Theory

Reconstructing Classes of Non-bandlimited Signals from Time Encoded Information

1 code implementation8 May 2019 Roxana Alexandru, Pier Luigi Dragotti

We investigate time encoding as an alternative method to classical sampling, and address the problem of reconstructing non-bandlimited signals from time-based samples.

Signal Processing

Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries

1 code implementation25 Sep 2017 Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues

This paper proposes a new approach to construct a high-resolution (HR) version of a low-resolution (LR) image given another HR image modality as reference, based on joint sparse representations induced by coupled dictionaries.

Dictionary Learning Image Super-Resolution

Deep De-Aliasing for Fast Compressive Sensing MRI

no code implementations19 May 2017 Simiao Yu, Hao Dong, Guang Yang, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon Arridge, Jennifer Keegan, David Firmin, Yike Guo

Fast Magnetic Resonance Imaging (MRI) is highly in demand for many clinical applications in order to reduce the scanning cost and improve the patient experience.

Compressive Sensing De-aliasing +1

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