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.



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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Color-Texture descriptors
We propose color-texture descriptors that are directly based on a perceptual theory of texture discrimination (Julesz’s Texton Theory).
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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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Physics-based color image segmentation
Based on an analysis of the bi-directional reflection model we propose a method which is particularly suited for segmentation in the presence of shadow and highlight edges.
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Bottom-up visual saliency
In this project, we obtain saliency maps from color images using perceptual characteristics.
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