DocumentCode :
350283
Title :
An algorithm for low memory wavelet image compression
Author :
Chrysafis, Christos ; Ortega, Antonio
Author_Institution :
Hewlett-Packard Labs., Palo Alto, CA, USA
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
354
Abstract :
As wavelet-based image coding is set to became more widely used (e.g. with the completion of the JPEG2000 standard), memory efficiency for wavelet-based coding is becoming an increasingly important issue. In this paper we present a complete system to perform low memory wavelet image coding. Our approach is “line-based” in that the images are read line by line and only the minimum required number of lines is kept in memory. The line-based transform is combined with a low memory entropy coder that does not require any global image information. Our system achieves a large (two orders of magnitude) reduction in memory requirements compared to other available coders, with limited performance loss (e.g., less than 0.5 dB)
Keywords :
data compression; entropy codes; image coding; wavelet transforms; JPEG2000 standard; algorithm; line-based transform; low memory entropy coder; low memory wavelet image compression; memory efficiency; wavelet-based image coding; Compression algorithms; Decoding; Discrete cosine transforms; Entropy; Image coding; Laboratories; Milling machines; Printers; Transform coding; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.817134
Filename :
817134
Link To Document :
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