56 citations · 317 across the 23 of their papers we have counts for
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A Unifying Approach to Inverse Problems of Ultrasound Beamforming and Deconvolution
Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz
Beamforming is an essential step in the ultrasound image formation pipeline and has recently attracted growing interest. An important goal of beamforming is to increase the image s…
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…
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…