Combined VQ-DCT coding of images using interblock noiseless coding

Xiaonong Ran, Nariman Farvardin

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

Combined vector quantization (VQ) and two-dimensional discrete cosine transform (DCT) coding of images is discussed. An algorithm for bit allocation for a composite source is developed. This algorithm is used to vary the bit allocation of the transform encoder based on the VQ outputs. An important feature of the scheme is that the bit allocation map used for the scalar quantization of the 2-D DCT coefficients varies according to the VQ output--one bit allocation map per VQ codevector. Thus, the VQ achieves two purposes: (1) it performs bit rate reduction, and (2) its output is used to determine the bit-allocation map for the 2-D DCT coding. To exploit the interblock correlation, a 2-dimensional interblock noiseless coding is used to encode the VQ outputs. Simulation results indicate that performance improvements over several other image-coding schemes can be obtained. The improvements are more noticeable at lower bit rates.

Original languageEnglish
Pages (from-to)2281-2284
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - 1990
Event1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA
Duration: 3 Apr 19906 Apr 1990

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