检索结果-内蒙古大学图书馆

general embedded quantization for Wavelet-Based Lossy Image Coding

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2013年第6期61卷 1561-1574页

作者： Auli-Llinas, Francesc Univ Autonoma Barcelona Dept Informat & Commun Engn E-08193 Barcelona Spain

embedded quantization is a mechanism employed by many lossy image codecs to progressively refine the distortion of a (transformed) image. Currently, the most common approach to do so in the context of wavelet-based image coding is to couple uniform scalar deadzone quantization (USDQ) with bitplane coding (BPC). USDQ+BPC is convenient for its practicality and has proved to achieve competitive coding performance. But the quantizer established by this scheme does not allow major variations. This paper introduces a multistage quantization scheme named general embedded quantization (GEQ) that provides more flexibility to the quantizer. GEQ schemes can be devised for specific decoding rates achieving optimal coding performance. Practical approaches of GEQ schemes achieve coding performance similar to that of USDQ+BPC while requiring fewer quantization stages. The performance achieved by GEQ is evaluated in this paper through experimental results carried out in the framework of modern image coding systems.

关键词： general embedded quantization JPEG 2000 lossy image coding

来源：评论

学校读者我要写书评

暂无评论

Low complexity embedded quantization scheme compatible with bitplane image coding

Low complexity embedded quantization scheme compatible with ...

引用

Data Compression Conference (DCC)

作者： Auli-Llinas, Francesc Univ Autonoma Barcelona Dept Informat & Commun Engn E-08193 Barcelona Spain

ISBN: (纸本)9781467360371

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.

关键词： 2-step scalar deadzone quantization embedded quantization JPEG2000 general embedded quantization

来源：评论

学校读者我要写书评

暂无评论

2-Step Scalar Deadzone quantization for Bitplane Image Coding

引用

IEEE TRANSACTIONS ON IMAGE PROCESSING 2013年第12期22卷 4678-4688页

作者： Auli-Llinas, Francesc Univ Autonoma Barcelona Dept Informat & Commun Engn Cerdanyola Del Valles 08290 Spain

Modern lossy image coding systems generate a quality progressive codestream that, truncated at increasing rates, produces an image with decreasing distortion. Quality progressivity is commonly provided by an embedded quantizer that employs uniform scalar deadzone quantization (USDQ) together with a bitplane coding strategy. This paper introduces a 2-step scalar deadzone quantization (2SDQ) scheme that achieves same coding performance as that of USDQ while reducing the coding passes and the emitted symbols of the bitplane coding engine. This serves to reduce the computational costs of the codec and/or to code high dynamic range images. The main insights behind 2SDQ are the use of two quantization step sizes that approximate wavelet coefficients with more or less precision depending on their density, and a rate-distortion optimization technique that adjusts the distortion decreases produced when coding 2SDQ indexes. The integration of 2SDQ in current codecs is straightforward. The applicability and efficiency of 2SDQ are demonstrated within the framework of JPEG2000.

关键词： 2-step scalar deadzone quantization general embedded quantization bitplane image coding JPEG2000

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：