Fixed-rate quantizer using block-based entropy-constrained quantization and run-length coding

Dongchang Yu, Michael W. Marcellin

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)310-316
Number of pages7
JournalData Compression Conference Proceedings
StatePublished - 1997
EventProceedings of the 1997 Data Compression Conference, DCC'97 - Snowbird, UT, USA
Duration: Mar 25 1997Mar 27 1997

ASJC Scopus subject areas

  • Computer Networks and Communications


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