Colour in Context
Research group Computer Vision Center |
People | Publications | Research projects | Downloads |
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. | Related publications |
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. | Related publications |
High Dynamic Range We try to perform a High Dynamic Range compression of color images using perceptual criterias. | Related publications |
Bottom-up visual saliency In this project, we obtain saliency maps from color images using perceptual characteristics. | Related publications |
Color attention for object recognition We propose a novel image representation where color attention is used to sample the shape description of the image. | Related publications |