5 papers
Maxwell Parallel Imaging
Matteo Alessandro Francavilla, Stamatios Lefkimmiatis, Jorge F. Villena +1
Purpose: To develop a general framework for Parallel Imaging (PI) with the use of Maxwell regularization for the estimation of the sensitivity maps (SMs) and constrained optimizati…
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters
Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov +1
Microscopy is a powerful visualization tool in biology, enabling the study of cells, tissues, and the fundamental biological processes; yet, the observed images typically suffer fr…
Iterative Residual CNNs for Burst Photography Applications
Filippos Kokkinos, Stamatios Lefkimmiatis
Modern inexpensive imaging sensors suffer from inherent hardware constraints which often result in captured images of poor quality. Among the most common ways to deal with such lim…
Iterative Joint Image Demosaicking and Denoising using a Residual Denoising Network
Filippos Kokkinos, Stamatios Lefkimmiatis
Modern digital cameras rely on the sequential execution of separate image processing steps to produce realistic images. The first two steps are usually related to denoising and dem…
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks
Filippos Kokkinos, Stamatios Lefkimmiatis
Demosaicking and denoising are among the most crucial steps of modern digital camera pipelines and their joint treatment is a highly ill-posed inverse problem where at-least two-th…