{"title":"Successive bit-plane rate allocation technique for JPEG2000 image coding","authors":"Y. M. Yeung, O. Au, A. Chang","doi":"10.1109/ICASSP.2003.1199157","DOIUrl":null,"url":null,"abstract":"A novel rate control scheme using successive bit-plane rate allocation (SBRA) is proposed for JPEG2000 image coding. By using the current rate-distortion information only, the proposed method can achieve a quality close to the post-compression rate-distortion (PCRD) optimization scheme adopted in JPEG2000. The proposed scheme can efficiently reduce both the computational cost and working memory size of the entropy coding process up to about 90%, in the case of 0.25bpp (1/32) compression. Without using the future rate-distortion information, the sequential property of the proposed method is highly suitable for real-time (or low delay) applications and implementation.","PeriodicalId":104473,"journal":{"name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2003.1199157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A novel rate control scheme using successive bit-plane rate allocation (SBRA) is proposed for JPEG2000 image coding. By using the current rate-distortion information only, the proposed method can achieve a quality close to the post-compression rate-distortion (PCRD) optimization scheme adopted in JPEG2000. The proposed scheme can efficiently reduce both the computational cost and working memory size of the entropy coding process up to about 90%, in the case of 0.25bpp (1/32) compression. Without using the future rate-distortion information, the sequential property of the proposed method is highly suitable for real-time (or low delay) applications and implementation.