检索结果-内蒙古大学图书馆

An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Images with sparse and locally sparse histograms 8th

An Adaptive Block-Based Histogram Packing for Improving the ...

引用

8th International Conference on Image and Signal Processing (ICISP)

作者： Jallouli, Souha Zouari, Sonia Masmoudi, Nouri Masmoudi, Atef Univ Sfax Lab Elect & Technol Informat Natl Engn Sch Sfax Sfax 3038 Tunisia

ISBN: (纸本)9783319942117;9783319942100

In this paper, we propose a new adaptive block-based histogram packing for lossless compression of images with sparse and locally sparse histograms. JPEG-LS provides an efficient lossless compression at a reasonable complexity. However, its efficiency is severely affected when encoding images or blocks containing only a subset of the possible values from the nominal alphabet. The aim of this work is to improve the compression performance of JPEG-LS by introducing a preprocessing technique that leads to improvements. Results of its effectiveness are presented.

关键词： Adaptive block-based histogram packing sparse and locally sparse histograms Lossless compression JPEG-LS Offline histogram packing Alphabet reduction scheme Preprocessing technique

来源：评论

学校读者我要写书评

暂无评论

A Preprocessing Technique for Improving the Compression Performance of JPEG 2000 for Images With sparse or locally sparse histograms 25

A Preprocessing Technique for Improving the Compression Perf...

引用

25th European Signal Processing Conference (EUSIPCO)

作者： Jallouli, Souha Zouari, Sonia Masmoudi, Atef Puech, William Masmoudi, Nouri Univ Sfax Natl Engn Sch Sfax Lab Elect & Technol Informat Sfax 3038 Tunisia Univ Montpellier LIRMM CNRS UMR 5506 F-34392 Montpellier 05 France

ISBN: (纸本)9780992862671

JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images compression. However, a compression performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless compression performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.

关键词： lossless image compression offline histogram packing JPEG 2000 alphabet reduction scheme sparse and locally sparse histograms

来源：评论

学校读者我要写书评

暂无评论

Adaptive block-wise alphabet reduction scheme for lossless compression of images with sparse and locally sparse histograms

引用

JOURNAL OF ELECTRONIC IMAGING 2015年第6期24卷 063001-063001页

作者： Masmoudi, Atef Zouari, Sonia Ghribi, Abdelaziz Univ Montpellier 2 LIRMM CNRS UMR 5506 F-34392 Montpellier 05 France Univ Sfax Lab Elect & Technol Informat Natl Engn Sch Sfax Sfax 3038 Tunisia Univ Sfax Fac Sci Sfax Lab Probabil & Stat Sfax 3038 Tunisia

We propose a new adaptive block-wise lossless image compression algorithm, which is based on the so-called alphabet reduction scheme combined with an adaptive arithmetic coding (AC). This new encoding algorithm is particularly efficient for lossless compression of images with sparse and locally sparse histograms. AC is a very efficient technique for lossless data compression and produces a rate that is close to the entropy;however, a compression performance loss occurs when encoding images or blocks with a limited number of active symbols by comparison with the number of symbols in the nominal alphabet, which consists in the amplification of the zero frequency problem. Generally, most methods add one to the frequency count of each symbol from the nominal alphabet, which leads to a statistical model distortion, and therefore reduces the efficiency of the AC. The aim of this work is to overcome this drawback by assigning to each image block the smallest possible set including all the existing symbols called active symbols. This is an alternative of using the nominal alphabet when applying the conventional arithmetic encoders. We show experimentally that the proposed method outperforms several lossless image compression encoders and standards including the conventional arithmetic encoders, JPEG2000, and JPEG-LS. (C) 2015 SPIE and IS&T

关键词： adaptive arithmetic coding alphabet reduction scheme lossless image compression JPEG-LS JPEG2000 sparse and locally sparse histograms

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：