兼容位平面图像编码的低复杂度嵌入式量化方案

Francesc Auli-Llinas
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引用次数: 1

摘要

嵌入式量化是一种机制,通过它,图像编码系统提供了质量进步性。虽然最常见的嵌入式量化方法是将均匀标量死区量化(USDQ)与位平面编码(BPC)结合使用,但最近的研究表明,使用通用的嵌入式量化(GEQ)方案可以获得与USDQ+BPC相似的编码性能,而无需执行更少的量化阶段。不幸的是,实际的GEQ方法不能在位平面编码引擎中实现,除非对其结构进行实质性的修改。这项工作克服了这一缺点,引入了与位平面图像编码兼容的两步标量死区量化(2SDQ)方案,该方案提供了与实际GEQ方法相同的优点。本文将2SDQ引入到JPEG2000框架中,以验证其可行性和有效性。
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Low Complexity Embedded Quantization Scheme Compatible with Bitplane Image Coding
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 dead zone quantization (USDQ) together with bit plane 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 bit plane coding engines without substantially modifying their structure. This work overcomes this drawback introducing a 2-step scalar dead zone quantization (2SDQ) scheme compatible with bit plane 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.
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