6 citations · 13 across the 7 of their papers we have counts for
4 papers · 1 filter
ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging
Vladimir Katkovnik, Igor Shevkunov, Karen Egiazarian
A novel formulation of the hyperspectral broadband phase retrieval is developed for the scenario where both object and modulation phase masks are spectrally varying. The proposed a…
Lensless hyperspectral imaging by Fourier transform spectroscopy for broadband visible light: phase retrieval technique
Igor Shevkunov, Vladimir Katkovnik, Karen Egiazarian
A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier Transform spectrosc…
Hyperspectral phase imaging based on denoising in complex-valued eigensubspace
Igor Shevkunov, Vladimir Katkovnik, Daniel Claus +3
A new denoising algorithm for hyperspectral complex domain data has been developed and studied. This algorithm is based on the complex domain block-matching 3D filter including the…
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
Cristóvão Cruz, Alessandro Foi, Vladimir Katkovnik +1
We introduce a paradigm for nonlocal sparsity reinforced deep convolutional neural network denoising. It is a combination of a local multiscale denoising by a convolutional neural…