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A new approach to texture coding using stochastic vector quantization

Author
Gimeno, D.; Torres, L.; Casas, J.
Type of activity
Presentation of work at congresses
Name of edition
1994 IEEE International Conference on Image Processing
Date of publication
1994
Presentation's date
1994-11
Book of congress proceedings
Proceedings 1994 International Conference on Image Processing
First page
119
Last page
123
Publisher
IEEE Computer Society
DOI
https://doi.org/10.1109/ICIP.1994.413287 Open in new window
Repository
http://hdl.handle.net/2117/101877 Open in new window
URL
http://ieeexplore.ieee.org/document/413287/ Open in new window
Abstract
A new method for texture coding which combines 2-D linear prediction and stochastic vector quantization is presented in this paper. To encode a texture, a linear predictor is computed first. Next, a codebook following the prediction error model is generated and the prediction error is encoded with VQ, using an algorithm which takes into account the pixels surrounding the block being encoded. In the decoder, the error image is decoded first and then filtered as a whole, using the prediction filte...
Citation
Gimeno, D., Torres, L., Casas, J. A new approach to texture coding using stochastic vector quantization. A: IEEE International Conference on Image Processing. "Proceedings 1994 International Conference on Image Processing". Austin, Texas: IEEE Computer Society, 1994, p. 119-123.
Keywords
Correlation methods, Decoding, Filtering theory, Image coding, Image texture, Linear predictive coding, Stochastic processes, Vector quantisation
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
IMP - Information Modelling and Processing

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