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Proceedings Paper

Progressive image transmission using variable block coding with classified vector quantization
Author(s): Young Huh; Krit Panusopone; K. R. Rao
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Paper Abstract

The progressive image transmission allows an approximate image to be built up quickly and details to be transmitted progressively through several passes over the image. This paper describes progressive image transmission scheme using the variable block coding technique in conjunction with variety of quantization schemes in the transform domain. The proposed scheme uses a region growing to partition the images so that regions of the different sizes can be addressed using a small amount of side information. This segmentation divides the image into five different regions that vary in size based on the details within the image. High-detail blocks are classified into four different categories using the energy distribution followed by classified vector quantization (CVQ), and low-detail blocks are encoded with scalar quantization. Simulation results show that the reconstructed images preserve fine and pleasant qualities based on both subjective and mean square error criteria. Also, the receiver reconstructs more details in each stage so that the observer can recognize the image quickly.

Paper Details

Date Published: 21 April 1995
PDF: 12 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206689
Show Author Affiliations
Young Huh, Univ. of Texas/Arlington (United States)
Krit Panusopone, Univ. of Texas/Arlington (United States)
K. R. Rao, Univ. of Texas/Arlington (United States)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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