DocumentCode
3430859
Title
A fixed-rate quantizer using block-based entropy-constrained quantization and run-length coding
Author
Yu, Dongchang ; Marcellin, Michael W.
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fYear
1997
fDate
25-27 Mar 1997
Firstpage
310
Lastpage
316
Abstract
A fast and efficient quantization technique is described. It is fixed-length, robust to bit errors, and compatible with most current compression standards. It is based on entropy-constrained quantization and uses the well-known and efficient Viterbi algorithm to force the coded sequence to be fixed-rate. Run-length coding techniques are used to improve the performance at low encoding rates. Simulation results show that it can achieve performance comparable to that of Huffman coded entropy-constrained scalar quantization with computational complexity increasing only linearly in block length
Keywords
computational complexity; entropy codes; image coding; quantisation (signal); runlength codes; Viterbi algorithm; block-based entropy-constrained quantization; computational complexity; fixed-rate quantizer; image coding; low encoding rates; run-length coding; simulation results; Computational complexity; Computational modeling; Computer errors; Encoding; Entropy coding; Quantization; Rate-distortion; Robustness; Transform coding; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1997. DCC '97. Proceedings
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-8186-7761-9
Type
conf
DOI
10.1109/DCC.1997.582054
Filename
582054
Link To Document