The university also has campuses in Ceuta and Melilla. Founded in 1531 by Emperor Charles V, has over 480 years of history and it is one of the oldest and most traditional universities in Spain. The University of Granada is the fourth largest Spanish university.
According to several rankings, the University of Granada is ranked among the top ten best Spanish universities and holds first place in Translation and Interpreting Studies.
The university has an important heritage, through its policy of using buildings of historical and cultural value. The Madrasah of Granada represents one such example. Similarly, the university has major new facilities committed to innovation, such as the Parque Tecnológico de Ciencias de la Salud.
Every year, over 2,000 European students enroll in the UGR through the Erasmus Programme, making it the most popular destination. The university’s Center for Modern Languages (CLM) receives over 10,000 international students each year.
University of Granada research articles from Innovation Toronto
- Scientists design an imaging system capable of obtaining 12 times more information than the human eye – October 6, 2014
- Researchers analyse 15m scientific articles to design the most comprehensive ‘world map of research’ yet – June 7, 2014
- Artificial magnetic bacteria “turn” food into natural drugs – May 13, 2014
- Scientists Have Been Able To Grow Artificial Skin Using Stem Cells from the Umbilical Cord
- Telerehabilitation Allows Accurate Assessment of Patients with Low Back Pain
- A new material has been patented, using doped carbon, allowing fuels to be produced while, at the same time, reducing CO2 emissions
- Spanish Scientists develop a Pioneering Technique to Effectively Treat Mucositis
- An Intelligent System Helps Elderly Or Memory-impaired To Remember Everyday Tasks
- Computer ‘Trained’ to Classify Pictures and Videos Based on Elements
This scientific development could be used in the not too distant future to create new assisted vehicle driving systems, to identify counterfeit bills and documents, or to obtain more accurate medical images than those provided by current systems
Researchers at the University of Granada, in collaboration with the Polytechnic University of Milan (Italy) have designed a multispectral imaging system capable of obtaining information from a total of 36 colour channels, as opposed to the usual 3 colour image sensors.
Researchers at the University of Granada have designed a new imaging system capable of obtaining up to twelve times more colour information than the human eye and conventional cameras, which implies a total of 36 colour channels. This important scientific development will facilitate the easy capture of multispectral images in real time, and in the not too distant future it could also be used to develop new asisted vehicle driving systems, identify counterfeit bills and documents or obtain medical images much more accurate than current ones, among many other applications.
The scientists, from the Color Imaging Lab group at the Optics Department, University of Granada, have designed this new system using a new generation of sensors—which were developed at the Polytechnic University of Milan—in combination with a matrix of multispectral filters to improve their performance.
Colour image sensors can be found in all common types of digital cameras and devices (reflex, automatic, webcams, cell phones, tablets, etc.) and they have an architecture that consists of a monochrome sensor (in black and white), covered with a layer of colour filters (commonly, red, green and blue, also known as RGB). This architecture only extracts information from one of these three colours in each pixel within the image. To extract the information from the rest of colours in each pixel, it is necessary to apply algorithms which in most cases are among manufacturers’ best-kept secrets.
According to the PI in this group, Miguel Ángel Martínez Domingo, “the new sensors developed at the Polytechnic University of Milan are called Transverse Field Detectors (TFD) and they are capable of extracting the full colour information from each pixel in the image without the need for a layer of colour filter on them.