Translator Disclaimer
1 July 1992 Composite predictive vector quantizer for encoding of still images
Author Affiliations +
Abstract
A predictive vector quantization scheme exploiting the intervector correlations of adjacent blocks (vectors) of pixels is developed. The model presented utilizes the statistical dependencies of the previously encoded pairs of adjacent blocks to predict future blocks of picture elements. The state of the vector predictor is represented by a subcodebook composed of a finite number of code vectors. These patterns constitute the most probable candidates for encoding purposes. The entries of the subcodebook are replenished at each state employing interblock dependencies. To further increase the performance of the quantizer, the difference between predicted pixels and original image samples was vector quantized in the second stage. Excellent subjective performance and SNRs were achieved for monochrome still images, while the range of the bit rates was lower than those of memoryless vector quantization schemes.
Nader Mohsenian and Nasser M. Nasrabadi "Composite predictive vector quantizer for encoding of still images," Journal of Electronic Imaging 1(3), (1 July 1992). https://doi.org/10.1117/12.59974
Published: 1 July 1992
JOURNAL ARTICLE
9 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Singular value decomposition for texture analysis
Proceedings of SPIE (September 21 1994)
New adaptive technique for color image compression
Proceedings of SPIE (November 14 1996)
New variable-rate VQ coding scheme apply in HDTV
Proceedings of SPIE (September 01 1990)
Vector quantization for compression of noisy imagery
Proceedings of SPIE (July 15 2004)

Back to Top