Colour in Context
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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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Color attention for object recognition
We propose a novel image representation where color attention is used to sample the shape description of the image.
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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.
gate.io
gate.io

Color Feature Detection for Object Recognition
Luminance edges are still the main source of information in the state-of-the-art methods for feature detection. We propose to exploit the statistical structure of luminance and color in natural images to extract the most discriminative features from the viewpoint of information theory for object recognition.
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