DocumentCode :
3265696
Title :
Bi-level image compression with tree coding
Author :
Martins, Bo ; Forchhammer, Soren
Author_Institution :
Dept. of Telecommun., Tech. Univ., Lyngby, Denmark
fYear :
1996
fDate :
Mar/Apr 1996
Firstpage :
270
Lastpage :
279
Abstract :
Presently, tree coders are the best bi-level image coders. The current ISO standard, JBIG, is a good example. By organising code length calculations properly a vast number of possible models (trees) can be investigated within reasonable time prior to generating code. Three general-purpose coders are constructed by this principle. A multi-pass free tree coding scheme produces superior compression results for all test images. A multi-pass fast free template coding scheme produces much better results than JBIG for difficult images, such as halftonings. Rissanen´s algorithm `Context´ is presented in a new version that without sacrificing speed brings it close to the multi-pass coders in compression performance
Keywords :
code standards; data compression; image coding; prediction theory; telecommunication standards; ISO standard; JBIG; Rissanen´s algorithm Context; bi-level image compression; code length calculations; compression performance; general-purpose coders; halftonings; image coders; multi-pass fast free template coding scheme; multi-pass free tree coding scheme; predictive coding; tree coders; tree coding; Arithmetic; Image coding; Predictive coding; Probability; State estimation; Statistics; Stochastic processes; Testing; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-8186-7358-3
Type :
conf
DOI :
10.1109/DCC.1996.488332
Filename :
488332
Link To Document :
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