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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899322