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Proceedings Paper

Psychovisual lattice vector quantization in subband image coding
Author(s): Dominique Barba; Albrecht Neudecker
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Paper Abstract

In this paper, we present a way of incorporating some important features of the human visual system in the coding of images within the framework of subband decomposition and of lattice vector quantization (VQ). As lattice VQ uses regular distribution of nodes, we use a non-linear pre-normalization of the signals in each subband, taking into account the visibility of impairments in the subbands and particularly the masking effects. Visually optimized subband lattice VQ allows us to encode complex images at bit rates between 0.4 to 0.6 bit/pixel without any visible distortion on a high-quality display.

Paper Details

Date Published: 22 October 1993
PDF: 12 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.158010
Show Author Affiliations
Dominique Barba, LATI/IRESTE (France)
Albrecht Neudecker, LATI/IRESTE (France)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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