An evolution-based tabu search approach to codebook design
Pattern Recognition
Journal of Mathematical Imaging and Vision
A biologically inspired technique for sampling of color images
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
A label field fusion Bayesian model and its penalized maximum rand estimator for image segmentation
IEEE Transactions on Image Processing
Automatic palette identification of colored graphics
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Multiresolution histogram analysis for color reduction
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Color quantization of digital images
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Color image quantization algorithm based on self-adaptive differential evolution
Computational Intelligence and Neuroscience
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Color image quantization, the process of reducing the number of colors in a digital color image, has been widely studied for the last fifteen years. The different steps of clustering methods are studied. The methods are compared step by step and some optimizations of the algorithms and data structures are given. A new color space called H1H2H3 is introduced, which improves the quantization heuristics. A low-cost quantization scheme is proposed