34 citations · 114 across the 9 of their papers we have counts for
4 papers · 1 filter
A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
Sparse representation of real-life images is a very effective approach in imaging applications, such as denoising. In recent years, with the growth of computing power, data-driven…
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit +3
Missing data is a recurrent problem in remote sensing, mainly due to cloud coverage for multispectral images and acquisition problems. This can be a critical issue for crop monitor…
Image Denoising Inspired by Quantum Many-Body physics
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
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. In this context…
Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
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…