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Proceedings Paper

Space-frequency methods in image compression
Author(s): Zixiang Xiong; Kannan Ramchandran; Michael T. Orchard
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Paper Abstract

Recently, a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization has attracted wide attention because its good performance appears to confirm the promised efficiencies of hierarchical representation. This paper addresses the problem of how spatial quantization modes and standard scalar quantization can be applied in a jointly optimal fashion in an image coder. We consider zerotree quantization and the simplest form of scalar quantizations, and we formalize the problem of optimizing their joint application and we develop an image coding algorithm for solving the resulting optimization problem. Despite the basic form of the two quantizers considered, the resulting algorithm demonstrates coding performance that is competitive the very best coding algorithms in the literature.

Paper Details

Date Published: 14 November 1996
PDF: 12 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258242
Show Author Affiliations
Zixiang Xiong, Princeton Univ. (United States)
Kannan Ramchandran, Univ. of Illinois/Urbana-Champaign (United States)
Michael T. Orchard, Princeton Univ. (United States)

Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

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