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Proceedings Paper

Laplacian pyramid coding of prediction error images
Author(s): Christoph Stiller; Dirk Lappe
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Paper Abstract

Pyramid image coding is an important class of encoding for progressive transmission. Image data is represented in a hierarchical structure and is transmitted in the order of decreasing significance. This property can be exploited for image sequence coding. Pyramid encoding allows to adapt to the statistics of prediction error images and to the available residual data rate. In this paper a Laplacian image pyramide is employed for coding the prediction error image of a hybrid image sequence coder. A tree growing algorithm for bit assignment within the pyramid is introduced for maximization of a quality criterion in the overall reconstructed image. Experiments show reasonable image quality even for low bit rates as 8 kbit/s.

Paper Details

Date Published: 1 November 1991
PDF: 11 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50291
Show Author Affiliations
Christoph Stiller, Aachen Univ. of Technology (Germany)
Dirk Lappe, Robert Bosch GmbH (Germany)

Published in SPIE Proceedings Vol. 1605:
Visual Communications and Image Processing '91: Visual Communication
Kou-Hu Tzou; Toshio Koga, Editor(s)

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