Design of a fixed-rate multiple description image coder

M. Ashourian, F. Mesrinejad, M. Ershadi
{"title":"Design of a fixed-rate multiple description image coder","authors":"M. Ashourian, F. Mesrinejad, M. Ershadi","doi":"10.1109/TENCON.2003.1273122","DOIUrl":null,"url":null,"abstract":"Multiple description coding refers to encoding an information source into multiple bitstreams in a way to be able to trade oft between channel protection and decoding quality. In this paper we propose a two-description subband image coder. We use over-sampling to produce redundancy for the lowest frequency subband which has the highest visual quality, and then split the subbands samples among the two descriptions. In the quantization stage, we use optimized scalar quantizer for the two descriptions of the lowest frequency subband, and pyramid vector quantization for high frequency subbands. We provide the PSNR of reconstructed image in different situations.","PeriodicalId":405847,"journal":{"name":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2003.1273122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Multiple description coding refers to encoding an information source into multiple bitstreams in a way to be able to trade oft between channel protection and decoding quality. In this paper we propose a two-description subband image coder. We use over-sampling to produce redundancy for the lowest frequency subband which has the highest visual quality, and then split the subbands samples among the two descriptions. In the quantization stage, we use optimized scalar quantizer for the two descriptions of the lowest frequency subband, and pyramid vector quantization for high frequency subbands. We provide the PSNR of reconstructed image in different situations.
固定速率多描述图像编码器的设计
多描述编码是指将一个信息源编码成多个比特流,从而能够在信道保护和解码质量之间进行权衡。本文提出了一种双描述子带图像编码器。我们使用过采样对具有最高视觉质量的最低频率子带产生冗余,然后将子带样本拆分到两个描述中。在量化阶段,我们对低频子带的两个描述使用优化的标量量化器,对高频子带使用金字塔矢量量化。给出了不同情况下重构图像的PSNR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信