Colour in Context
Research group Computer Vision Center |
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Colour-Texture perception, spatio-chromatic interaction is modelled as the induction mechanisms of the human visual system. A computational model for brightness induction based on a multi-resolution wavelet predicts brightness induction in the following visual illusions
Colour sharpening, perceptual mechanisms are implemented to build enhanced versions of colour images
Original Images
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Enhanced Images
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Projects: (Public Fund)
(2007-2011) CREATE - Colour Researach for European Advanced Technology Employment. Marie Curie Actions.
(2007-2010) Color Content Management: Modelling spatial and semantic perception. MEC TIN2007-64577
(2004-2007) Automatic textual annotation of image databases. Spatio-Chromatic visual descriptors. MEC TIN2004-02970
(2001-2004) Integral Surveillance system based on Computer Vision. CICYT TIC2000-0382
(2000-2001) Automatic People description based on cloth features. FEDER (2FD97-1800).
(1998-2000) Computational color-texture processing for visual inpection in industry. CICYT (TAP98-0618)
(1998-1999) Automatic tile classification based on color-textuure properties. CICYT (Fondos FEDER) FD97-0104
(1996-1998) Defining programming tools for computer vision research. DGICYT TAP96-0629-C04-03
(1992-1995) Texture modelling in multiscale representations. Pneumoconiosis Automatic Diagnosis. DGICYT PB91-0513