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Proceedings Paper

Index-compressed residual adaptive vector quantization
Author(s): Jamshid Shanbehzadeh; Philip O. Ogunbona; Abdolhosain Sarafzadeh; Sayyad Najafi
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Paper Abstract

This paper introduces a new scheme for still image compression based on Vector Quantization (VQ). The new scheme first vector quantized the image, then the indices obtained from quantization are compressed and transmitted. The indices are used as a classifier to identify the active areas of the image. The residual of active areas are vector quantized in the second step and the indices generated are transmitted. The advantage of new scheme is to present the active areas of the coded image accurately without overhead requirement. This scheme shows better subjective and objective in comparison with similar VQ schemes.

Paper Details

Date Published: 6 July 1998
PDF: 9 pages
Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); doi: 10.1117/12.316434
Show Author Affiliations
Jamshid Shanbehzadeh, Teacher Training Univ. (Iran)
Philip O. Ogunbona, Univ. of Wollongong (Australia)
Abdolhosain Sarafzadeh, Teacher Training Univ. (Iran)
Sayyad Najafi, Teacher Training Univ. (Iran)

Published in SPIE Proceedings Vol. 3387:
Visual Information Processing VII
Stephen K. Park; Richard D. Juday, Editor(s)

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