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Found 8 papers, 2 papers with code
Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth
Denoising is omnipresent in image processing.
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.
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.
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.
Large amplitude electromagnetic solitons in a fully relativistic magnetized electron-positron-pair plasma
Nonlinear propagation of purely stationary large amplitude electromagnetic (EM) solitary waves in a magnetized electron-positron (EP) plasma is studied using a fully relativistic two-fluid hydrodynamic model which accounts for physical regimes of both weakly relativistic $(P\ll nmc^2)$ and ultrarelativistic $(P\gg nmc^2)$ random thermal energies.
Plasma Physics
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.
