Colour in Context
Research group
Computer Vision Center



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The CVC colour group focuses its research in areas related to computational colour within computer vision. Our long term objective is to create computer algorithms that simulate human perception and categorisation of colour. To achieve this aim, we study colour as a visual cue in its context. Our main research lines are colour constancy, induction, saliency, texture,segmentation and naming.



Bottom-up visual saliency
In this project, we obtain saliency maps from color images using perceptual characteristics.
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Image Compression
The aim of this work is to apply perceptual concepts to defina a perceptual pre-quantizer in order to improve image compression algorithms.
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Psychophysical Error Measure for Colour Constancy
In this paper we propose a new evaluation in order to compare solutions of different colour constancy algorithms. this new approach is based on a psychophysical experiment to relate this new evaluation with human perception instead of physical properties.
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High Dynamic Range
We try to perform a High Dynamic Range compression of color images using perceptual criterias.
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Chromatic Induction
We propose a computational model that reprodce chromatic induction processes unifying chromatic assimilation and chromatic contrast into a single perceptual process.
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