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