Context-based binary arithmetic coding for fine granuality scalability

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

A context-based binary arithmetic coding to improve entropy coding of the enhancement layer for the H.26L-based fine granularity scalability (FGS) is proposed. Instead of independent bit-plane coding, we exploit correlation between various bit-planes and neighboring coefficients. For each bit-plane, we perform significant/refinement bit partition and construct contexts separately in terms of energy clustering and distribution of DCT coefficients. For the significant bit, we extend one-dimensional run-length coding to multiple dimensions and segment the significant bit-planes. For the refinement bit, we put together refinement bits exhibiting stronger correlation by energy groups and apply run-length coding distinctively. Particularly, we introduce the maximum run concept to offer better statistical adaptation. Averagely, our approach reduces the enhancement-layer bit stream by 7-8% and improves the PSNR by 0.3-0.5 dB. Moreover, our performance outperforms the JPEG-2000 for the encoding of the enhancement layer.

原文English
主出版物標題Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
發行者IEEE Computer Society
頁面105-108
頁數4
ISBN(列印)0780379462, 9780780379466
DOIs
出版狀態Published - 1 一月 2003
事件7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 - Paris, France
持續時間: 1 七月 20034 七月 2003

出版系列

名字Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
1

Conference

Conference7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
國家/地區France
城市Paris
期間1/07/034/07/03

指紋

深入研究「Context-based binary arithmetic coding for fine granuality scalability」主題。共同形成了獨特的指紋。

引用此