DocumentCode :
1871360
Title :
Lossless and lossy minimal redundancy pyramidal decomposition for scalable image compression technique
Author :
Babel, Marie ; Déforges, Olivier
Author_Institution :
INSA de Rennes, France
Volume :
3
fYear :
2003
fDate :
6-9 July 2003
Abstract :
We present a new scalable compression technique dealing simultaneously with both lossy and lossless image coding. An original DPCM scheme with refined context is introduced through a pyramidal decomposition adapted to the LAR (locally adaptive resolution) method, which becomes by this way fully progressive. An implicit context modeling of the prediction errors, due to the low resolution image representation including variable block size structure, is then exploited to the for lossless compression purpose.
Keywords :
data compression; image coding; image representation; image resolution; image representation; implicit context modeling; locally adaptive resolution method; lossless image coding; lossy image coding; minimal redundancy pyramidal decomposition; prediction errors; refined context; scalable image compression technique; variable block size structure; Codecs; Context modeling; Decoding; Design methodology; Image coding; Image representation; Image resolution; Quantization; Redundancy; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7965-9
Type :
conf
DOI :
10.1109/ICME.2003.1221273
Filename :
1221273
Link To Document :
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