DocumentCode
2829261
Title
Blockwise zero mapping image coding
Author
He, Zhihai ; Yu, Tian-Hu ; Mitra, Sanjit K.
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume
3
fYear
2000
fDate
2000
Firstpage
170
Abstract
A coding algorithm of low addressing and implementation complexity is proposed. It is based on partitioning uniformly quantized wavelet coefficients into multiscale blocks with each block classified as either an all-zero block or a non-zero block. The non-zero blocks are coded by a new method called zero-mapping whose outputs are further compressed by a first-order arithmetic coder. The performance of the proposed coding algorithm compares favorably with that of some well-known coding algorithms, particularly for images with considerable high frequency components
Keywords
arithmetic codes; data compression; image coding; transform coding; wavelet transforms; all-zero block; first-order arithmetic coder; high frequency components; low complexity; multiscale blockwise partitioning; non-zero block; uniformly quantized wavelet coefficients; zero-mapping method; Arithmetic; Frequency; Helium; Image coding; Partitioning algorithms; Quantization; Strontium; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899322
Filename
899322
Link To Document