Low complexity embedded quantization scheme compatible with bitplane image coding

Francesc Aulí-Llinàs*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Embedded quantization is a mechanism through which image coding systems provide quality progressivity. Although the most common embedded quantization approach is to use uniform scalar deadzone quantization (USDQ) together with bitplane coding (BPC), recent work suggested that similar coding performance as that achieved with USDQ+BPC can be obtained with a general embedded quantization (GEQ) scheme than performs fewer quantization stages. Unfortunately, practical approaches of GEQ can not be implemented in bitplane coding engines without substantially modifying their structure. This work overcomes this drawback introducing a 2-step scalar deadzone quantization (2SDQ) scheme compatible with bitplane image coding that provides the same advantages of practical GEQ approaches. Herein, 2SDQ is introduced in the framework of JPEG2000 to demonstrate its viability and efficiency.

Original languageAmerican English
Pages (from-to)271-280
Number of pages10
JournalData Compression Conference Proceedings
DOIs
Publication statusPublished - 2013

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