Vicente González-Ruiz is associate professor in the Informatics Department of the University of Almería. He received an M.Sc. degree in computer science from the University of Granada in 1992, and a Ph.D. degree in computer science from the University of Almería in 2000. He is a member of the Supercomputing-Algorithms Research Group of the University of Almería.
In the early 1990’s, I started working on transform-based image compression algorithms capable of being scalable in progressive streaming environments. It was then that I began my collaboration with researchers from the CNB (National Center for Biotechnology) in order to improve remote interactive access to electron microscopes. These coding algorithms were also used at the Calar Alto Hispano-German Astronomical Center in this case to optimize the use of the telescopes.
Next, I was working with researchers from the JHelioviewer project (https://www.jhelioviewer.org/) which was an initiative promoted by the ESA (European Space Agency) to study the Sun, to improve the interactive access system to solar images, in this case taking advantage of the possibilities of progressive rendering provided by the JPEG2000 image compression standard. Following in the line of progressive image transmission, we also use this standard in hyperspectral images.
Specifically in the field of secure transmission of multimedia content, I have worked on multicast streaming protocols based on the P2P (Peer-to-Peer) model, and I collaborated in the specification of the P2PSP protocol (https://es.wikipedia.org /wiki/P2PSP), which was funded by Google through its Google Summer of Code program (years 2015, 2016, 2017 and 2018).
In collaboration with scientists of the CSIC, I worked on the improvement of the quality of images obtained in the field of microscopy. We used motion estimation algorithms based on the computation of the optical flow to interpolate missing images in FIB/SEM (Focused Ion Beam - Scanning Electron Microscopy) analysis.
Currently we are developing denoising algorithms that preserve the structure of the specimens in Electron Microscopy images.
Image and video coding, multimedia transmission, signal processing.