地球科学图像的低比特率编码

[Proceedings] DCC `93: Data Compression Conference Pub Date : 1900-01-01 DOI:10.1109/DCC.1993.253112

F. Kossentini, W. Chung, Mark J. T. Smith

{"title":"地球科学图像的低比特率编码","authors":"F. Kossentini, W. Chung, Mark J. T. Smith","doi":"10.1109/DCC.1993.253112","DOIUrl":null,"url":null,"abstract":"The approach is based on some advances in the area of variable rate residual vector quantization considered separately, and in conjunction with subband image decomposition. Comparisons illustrate the improvement in performance attributable to this approach relative to the JPEG coding standard.<<ETX>>","PeriodicalId":315077,"journal":{"name":"[Proceedings] DCC `93: Data Compression Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Low bit rate coding of Earth science images\",\"authors\":\"F. Kossentini, W. Chung, Mark J. T. Smith\",\"doi\":\"10.1109/DCC.1993.253112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The approach is based on some advances in the area of variable rate residual vector quantization considered separately, and in conjunction with subband image decomposition. Comparisons illustrate the improvement in performance attributable to this approach relative to the JPEG coding standard.<<ETX>>\",\"PeriodicalId\":315077,\"journal\":{\"name\":\"[Proceedings] DCC `93: Data Compression Conference\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] DCC `93: Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1993.253112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] DCC `93: Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1993.253112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

该方法是基于单独考虑的可变速率残差矢量量化领域的一些进展，并结合子带图像分解。比较说明了相对于JPEG编码标准，这种方法在性能上的改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Low bit rate coding of Earth science images

The approach is based on some advances in the area of variable rate residual vector quantization considered separately, and in conjunction with subband image decomposition. Comparisons illustrate the improvement in performance attributable to this approach relative to the JPEG coding standard.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

[Proceedings] DCC `93: Data Compression Conference

自引率

0.00%

发文量

期刊最新文献

Application of AVL trees to adaptive compression of numerical data Coding theory and regularization Robust, variable bit-rate coding using entropy-biased codebooks Compression of DNA sequences Joint codebook design for summation product-code vector quantizers