Title :
Archive image communication with improved compression
Author :
Yin, Xiao Wei ; Fleury, Martin ; Downton, Andy C.
Author_Institution :
Electron. Syst. Eng. Dept., Essex Univ., Colchester, UK
Abstract :
DjVu is a document codec that uses a truncated embedded significance tree to achieve both resolution and image quality scalability. In this paper, the probability model for the truncated tree arithmetic coder is improved, resulting in reduced bit-rates. The trade-off in decoder complexity is also indicated.
Keywords :
Internet; codecs; data compression; document image processing; image coding; probability; 3D wavelet coding; DjVu; Internet; JPEG document images; Karhunen-Loeve transform; archive image communication; binary arithmetic coder; decoder complexity; document codecs; document sequence dimension; image quality scalability; resolution quality scalability; truncated embedded significance tree; truncated tree arithmetic coder; vector quantization; Arithmetic; Codecs; Decoding; Encoding; Image coding; Image communication; Image converters; Image databases; Scalability; Transform coding;
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
DOI :
10.1109/ICDAR.2003.1227634
