Search Results for author:
Found 14 papers, 3 papers with code
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration
This paper presents a deep neural network called DIVA unfolding a baseline adaptive denoising algorithm (De-QuIP), relying on the theory of quantum many-body physics.
A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory
Sparse representation of real-life images is a very effective approach in imaging applications, such as denoising.
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
0. 019) is obtained for the imputation of the median Normalized Difference Index (NDVI) of the rapeseed (resp.
Image Denoising Inspired by Quantum Many-Body physics
Decomposing an image through Fourier, DCT or wavelet transforms is still a common approach in digital image processing, in number of applications such as denoising.
Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images
A new Plug-and-Play (PnP) alternating direction of multipliers (ADMM) scheme is proposed in this paper, by embedding a recently introduced adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem
This paper introduces a computationally efficient technique for estimating high-resolution Doppler blood flow from an ultrafast ultrasound image sequence.
Image and Video Processing
A Novel Fast 3D Single Image Super-Resolution Algorithm
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 its low-resolution counterpart.
Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme
This paper introduces a new Plug-and-Play (PnP) alternating direction of multipliers (ADMM) scheme based on a recently proposed denoiser using the Schroedinger equation's solutions of quantum physics.
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series
When using these features with an outlier ratio of 10%, the percentage of detected true positives (i. e., crop anomalies) is equal to 94. 1% for rapeseed parcels and 95. 5% for wheat parcels.
Quantum mechanics-based signal and image representation: application to denoising
Decomposition of digital signals and images into other basis or dictionaries than time or space domains is a very common approach in signal and image processing and analysis.
A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT
In this article this factorization framework is investigated for single image resolution enhancement with an off-line estimate of the system point spread function.
Reconstruction of Enhanced Ultrasound Images From Compressed Measurements Using Simultaneous Direction Method of Multipliers
Through this model, the resolution of reconstructed ultrasound images from compressed measurements mainly depends on three aspects: the acquisition setup, i. e. the incoherence of the sampling matrix, the image regularization, i. e. the sparsity prior, and the optimization technique.
Beamforming through regularized inverse problems in ultrasound medical imaging
In this paper, we propose to perform beamforming in ultrasound imaging through a regularized inverse problem based on a linear model relating the reflected echoes to the signal to be recovered.
Compressive Deconvolution in Medical Ultrasound Imaging
The interest of compressive sampling in ultrasound imaging has been recently extensively evaluated by several research teams.
