Distributed data compression/decompression technique for images via conformal mapping

Dalila B. Megherbi; J. D. Lucente; A. J. Boulenouar

doi:10.1117/12.438255

28 August 2001 Distributed data compression/decompression technique for images via conformal mapping

Dalila B. Megherbi, J. D. Lucente, A. J. Boulenouar

Proceedings Volume 4388, Visual Information Processing X; (2001) https://doi.org/10.1117/12.438255
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

This works deals with a new technique for large remote- sensing data compression. Contour mapping of two dimensional objects is of fundamental importance in remote sensing and computer vision applications. We present extensive algorithms applied to polygonized, simply- connected contours and reproduce desired shapes using an innovative data compression technique based on conformal mapping. In a previous work, through a conformal mapping process, we demonstrated the ability to 1) recognize shapes, and 2) concisely represent shape boundaries using a set of polynomial coefficients derived in the mapping process. In this work we illustrate how these previous results can be applied to data compression. In particular, in the approach outlined herein, a syntactic representation is formed for polygon shapes whose representation we desire to extract and reproduce compactly. Additionally, we present a problem of concavity in shape boundaries and a proposed solution in which polygons are divided into convex subsets and reconstructed accordingly. Each convex subset is then being processed in parallel, which lends to the extension of computational platform to parallel/distributed environment to improve the processing time. We show the potential of the proposed generalized technique in its ability to handle both polygonal, non-polygonal and mixed polygonal/non- polygonal object shapes.

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Dalila B. Megherbi, J. D. Lucente, and A. J. Boulenouar "Distributed data compression/decompression technique for images via conformal mapping", Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); https://doi.org/10.1117/12.438255

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KEYWORDS

Data compression

Associative arrays

Image compression

Image processing

Algorithm development

Vestigial sideband modulation

Image segmentation

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