Marie Skłodowska-Curie Actions

MSCA-IF: Joint application at the University of Granada. Department of Optics.

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    01/07/2020 10:00 - Europe/Brussels
    H2020 / Marie Skłodowska-Curie Actions
    Spain, Granada
    International Research Projects Office
    Promotion and Advisory Unit

Professor Javier Hernández-Andrés, from the Department of Optics at the University of Granada, welcomes postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Individual Fellowships (MSCA-IF) in 2020 at this University. Please note that applicants must comply with the Mobility Rule (more information: http://sl.ugr.es/0aNV).

Brief description of the institution:

The University of Granada (UGR), founded in 1531, is one of the largest and most important universities in Spain. The UGR has been awarded with the "Human Resources Excellence in Research (HRS4R)", which reflects the UGR’s commitment to continuously improve its human resource policies in line with the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers. The UGR is also a leading institution in research, located in the top 5/10 of Spanish universities by a variety of ranking criteria, such as national R&D projects, fellowships awarded, publications, or international funding.

UGR is one of the few Spanish Universities listed in the Shanghai Top 500 ranking (http://sl.ugr.es/0aw0). The Academic Ranking of World Universities (ARWU) places the UGR in 268th position in the world and as the 4th highest ranked University in Spain, reaffirming its position as an institution at the forefront of national and international research. From the perspective of specialist areas in the ARWU rankings, the UGR is outstanding in Documentation (ranked in the 36th in the world) or Food science technology (ranked 37th in the world), Mathematics and Computer Science (ranked among the top 76-100 in the world).

The UGR has 4 researchers at the top of the Highly Cited Researchers (HCR) list in the Computer Science area. With regard to broader subject fields, the UGR is ranked in 45th position in the universities worldwide in the discipline of Engineering. It is also well recognized for its web presence (http://sl.ugr.es/0a6i) taking 36th place in the top 200 Universities in Europe. Internationally, we bet decidedly by our participation in the calls of the Framework Programme of the European Union. For the duration of the last two Framework Programmes, the UGR has obtained a total of 66 projects, with total funding of 18.02 million euros, and for H2020, 80 projects with total funding around 20.6 million euros.

Brief description of the Centre/Research Group

The Color Imaging Lab belongs to the Optics Department at the University of Granada (ranked among the best 300 universities in the world and the second in Spain, according to the Shanghai ranking 2018).

In this department we have carried out research into both classical Colorimetry (e.g. color differences) and Color Vision (e.g. chromatic discrimination) since the beginning of the 1970s. In the 1990s we became interested in both human and computational color constancy. From its origin in 2000 the Color Imaging Lab has focused on the spectrum based color research and novel methods for spectral data analysis and measurement. Our current research topics are: spectral imaging, spectral estimation algorithms, high dynamic range imaging, de-weathering algorithms, human perception, color vision, visual saliency, polarimetric&spectral imaging, new spectral sensors.

In the research group we have four senior permanent staff and several Ph.D. and Post-doc students. Our laboratory is well-equipped for spectral color research with several spectral cameras (hyperspectral and multispectral) and spectroradiometers as well as eye-trackers and a thermal camera. Our university has also the facility to use color and spectral cameras on drones.

Our group is a consortium member of the and Erasmus+ COSI-master programmes. We are very active in international collaboration (i.e. half of our papers have international co-authorship). In research, we have project funding from the University of Granada, the Regional Government of Andalucia, the Spanish Government and from industrial partners.

Project description

Hyperspectral image dehazing in the visible and infrared ranges for Enhanced Flight Vision Systems

Under haze or fog, the quality of the images is degraded due to the atmosphere, causing the details of the image to be difficult to identify by both an observer and computer vision systems. The techniques to eliminate this degradation, caused by the scattering and absorption of light, named as dehazing techniques, are crucial in various current applications with great scientific and technological interest: air and maritime transport, surveillance, driver assistance systems, remote sensing.

Dehazing is a multidisciplinary challenge, since it requires the knowledge of several fields: meteorology, physical models to predict how light is affected by the atmosphere, and computer vision & image processing to recover the parameters of the scene. The methods of dehazing that provide better results are those based on a physical model, whose objective is to reverse the atmospheric degradation. For most scientific and technological applications of dehazing it is essential that the methods work automatically, in real time, without the interaction of the user and without knowing atmospheric parameters.

We proposed in 2015 a method based on the dichromatic model of atmospheric scattering and on the constancy of the response ratio of a camera's RGB sensors. This method only requires a previous segmentation of the image to group the pixels located at the same distance.

This research project focuses on the use of multispectral and hyperspectral images in the visible and infrared range in a dehazing method based on a physical model.

Research Area

Information Science and Engineering (ENG), Life Sciences (LIFE) and Physics (PHY)

For a correct evaluation of your candidature, please send the documents below to Professor Javier Hernández-Andrés (javierha@ugr.es):

  • CV
  • Letter of recommendation (optional)


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