DocumentCode
2398261
Title
Quadtree based JBIG compression
Author
Fowler, B. ; Arps, R. ; Gamal, A. ; Yang, D.
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
fYear
1995
fDate
28-30 Mar 1995
Firstpage
102
Lastpage
111
Abstract
A JBIG compliant, quadtree based, lossless image compression algorithm is described. In terms of the number of arithmetic coding operations required to code an image, this algorithm is significantly faster than previous JBIG algorithm variations. Based on this criterion, our algorithm achieves an average speed increase of more than 9 times with only a 5% decrease in compression when tested on the eight CCITT bi-level test images and compared against the basic non-progressive JBIG algorithm. The fastest JBIG variation that we know of, using “PRES” resolution reduction and progressive buildup, achieved an average speed increase of less than 6 times with a 7% decrease in compression, under the same conditions
Keywords
arithmetic codes; data compression; image coding; quadtrees; CCITT bi-level test images; JBIG algorithm; arithmetic coding; image coding; lossless image compression algorithm; quadtree; Arithmetic; Circuits; Compression algorithms; Data structures; Facsimile; Image coding; Image resolution; Image sensors; Power system reliability; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1995. DCC '95. Proceedings
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-8186-7012-6
Type
conf
DOI
10.1109/DCC.1995.515500
Filename
515500
Link To Document