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Proceedings Paper

Multiresolution image decomposition for processing reconnaissance images
Author(s): H. Garton Lewis; William B. Forsyth
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Paper Abstract

Recent increases in focal plane size and spatial resolution, coupled with the introduction of multi-spectral sensor suites in tactical reconnaissance platforms, have exponentially increased the volume of image data to be processed. This paper proposes the use of a quadrature mirror filter compression technique whereby intrinsic multiresolution pyramid decomposition can simplify implementation of many of the algorithms required to exploit these images. A subband coding system, based on the spatial frequency and orientation of the decomposed images, is presented. Implementation of additional algorithms based on multiresolution pyramid decomposition is also discussed. These algorithms include: edge detection and restoration, real-time minification of large E-O images for screening purposes and interpolation with electronic zooming for target identification.

Paper Details

Date Published: 1 October 1992
PDF: 9 pages
Proc. SPIE 1705, Visual Information Processing, (1 October 1992); doi: 10.1117/12.138471
Show Author Affiliations
H. Garton Lewis, Loral Fairchild Systems (United States)
William B. Forsyth, Loral Fairchild Systems (United States)

Published in SPIE Proceedings Vol. 1705:
Visual Information Processing
Friedrich O. Huck; Richard D. Juday, Editor(s)

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