Lab. History

A laboratory with a long history

UGR The Color Imaging Lab forms part of the Department of Optics of the University of Granada. 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.

Cutting edge research

ColorImagingLab From 1990 to 2000 we decided to direct our research attention towards color images, while maintaining open the research lines about human vision related to color constancy and perception of chromatic gratings.We became interested in the mathematical characterization of objects and illuminants in scenes by obtaining linear models for the representation of spectral reflectances of various different types of artificial object, particularly acrylic paints and the SPDs of natural and artificial illuminants. For daylight we carried out a far-reaching campaign of experimental measurements and a subsequent mathematical characterization based upon the principal components analysis (PCA). After, we worked on the recovery of daylight SPDs, scene illumination in general and also lately spectral estimation. We used several algorithms based upon the use of conventional CCD cameras, with or without the addition of color filters in front of the lens.

At present, we are looking into the design of optimum sensors to use in the spectral acquisition of HDR color images. Based in color and/or spectral information of images, we also work in the development of algorithms for recognition of objects in natural scenes, dehazing methods and multispectral color scanners.

A close relationship with the industry and companies

grupo Alongside this line of research we have also continued working in computational color constancy. We have applied the fundamental concepts relating to the phenomenon of color constancy in the development of color-descriptors invariant to changes in illumination applicable to color imaging. In addition we are studying the statistical properties of natural color images and the influence of daylight illuminationon the statistical descriptors such as color contrast, gamut, etc.

In the immediate future we intend to continue along these lines of research by improving our methods of acquiring multispectral images both outside and in the laboratory and by applying color and multispectral techniques to several fields, like industrial inspection systems and characterization of goniochromatic materials.

We still continue with experimental work into the Applied Colorimetry and Atmospheric Optics.

A unique international master on Color Science and Industry

AIC05 In the field of teaching we are involved in doctoral programmes, master programmes, courses and other activities related to color imaging. We have also been involved in the organization of several conferences including the 10th Congress of the International Colour Association, AIC Colour 05.

COSI We teach in the Master Erasmus Mundus "Color in Science and Industry" - COSI. The COSI consortium is composed of University of Saint-Etienne (France), University of Eastern Finland (Finland), University of Granada (Spain) and University College Gjovik (Norway) and delivers the two-year Master programme (120 ECTS) under the prestigious Erasmus program.

The study programme of this Master course is broadly interdisciplinary, encompassing photonics, computer vision and imaging science, computer science and multimedia technology as a mix of relevant theoretical and practical knowledge. The objective is to educate students in advanced methodologies and models in computationnal color science with two goals of research orientation and further studies at the doctoral level on one hand, and practical applications on the other hand, COSI offers three areas of specialization: Color Imaging Science, Spectral Color Science and Multimedia Technology Science. These areas are being emergent, rapidly evolving, and of growing impact on the Information Society Technologies which require specialized competencies.