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Proceedings Paper

Multiresolution Techniques For Image Representation, Analysis, And 'Smart' Transmission
Author(s): Peter J. Burt
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Paper Abstract

Important new techniques for representing and analyzing image data at multiple resolutions have been developed over the past several years. Closely related multiresolution structures and procedures have been developed more or less independently in diverse scientific fields. For example, pyramid and subband representations have been applied to image compression, and promise excellent performance and flexibility. Similar pyramid structures have been developed as models for the neural coding of images within the human visual system. The pyramid has been developed in the computer vision field as a general framework for implementing highly efficient algorithms, including algorithms for motion analysis and object recognition. In this paper I review these multiresolution techniques and discuss how they may be usefully combined in the future. Methods used in image compression, for example, should match the requirements of human perception, and future 'smart' transmission systems will need to perform rapid analysis in order to selectively encode the most critical information in a scene.

Paper Details

Date Published: 1 November 1989
PDF: 16 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970014
Show Author Affiliations
Peter J. Burt, David Sarnoff Research Center (United States)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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