DocumentCode :
304556
Title :
Stack-run coding for low bit rate image communication
Author :
Tsai, Min-Jen ; Villasensor, J.D. ; Chen, Feng
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Volume :
1
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
681
Abstract :
We describe a new wavelet image coding approach in which a 4-ary symbol set with two contexts is used to represent significant coefficient values and the lengths of zero runs between coefficients. This algorithm works by raster scanning within subbands, and therefore involves much lower addressing complexity than other algorithms such as zerotree coding that require the creation and maintenance of intersubband dependencies across different decomposition levels. Despite its simplicity, and the fact that these dependencies are not explicitly utilized, the algorithm presented here is competitive with the refinements of zerotree coding. Stack-run coding can also be applied in the absence of entropy coding, resulting in an even lower complexity coder which in many cases performs within 1 dB PSNR of the entropy coded version
Keywords :
communication complexity; image coding; transform coding; visual communication; wavelet transforms; 4-ary symbol set; addressing complexity; algorithm; coefficient values; contexts; low bit rate image communication; raster scanning; stack-run coding; subbands; wavelet image coding; zero run length; Bit rate; Context; Entropy coding; Image coding; Image communication; PSNR; Partitioning algorithms; Quantization; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.559590
Filename :
559590
Link To Document :
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