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Stochastic vector quantization of images

Author
Torres, L.; Casas, J.; Arias, E.
Type of activity
Journal article
Journal
Signal processing
Date of publication
1997-11
Volume
62
Number
3
First page
291
Last page
301
DOI
https://doi.org/10.1016/S0165-1684(97)00130-8 Open in new window
Repository
http://hdl.handle.net/2117/97894 Open in new window
URL
http://www.sciencedirect.com.recursos.biblioteca.upc.edu/science/article/pii/S0165168497001308 Open in new window
Abstract
One of the most important steps in the vector quantization of images is the design of the codebook. The codebook is generally designed using the LBG algorithm, that is in essence a clustering algorithm which uses a large training set of empirical data that is statistically representative of the image to be quantized. The LBG algorithm, although quite effective for practical applications, is computationally very expensive and the resulting codebook has to be recalculated each time the type of ima...
Citation
Torres, L., Casas, J., Arias, E. Stochastic vector quantization of images. "Signal processing", Novembre 1997, vol. 62, núm. 3, p. 291-301.
Keywords
Image coding, Image compression, Image models, Vector quantization
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
IMP - Information Modelling and Processing

Participants