Space-frequency methods in image compression

Zixiang Xiong; Kannan Ramchandran; Michael T. Orchard

doi:10.1117/12.258242

14 November 1996 Space-frequency methods in image compression

Zixiang Xiong, Kannan Ramchandran, Michael T. Orchard

Proceedings Volume 2847, Applications of Digital Image Processing XIX; (1996) https://doi.org/10.1117/12.258242
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

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Zixiang Xiong, Kannan Ramchandran, and Michael T. Orchard "Space-frequency methods in image compression", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258242

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KEYWORDS

Quantization

Wavelets

Image compression

Distortion

Algorithm development

Rubidium

Optimization (mathematics)

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