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Proceedings Paper

Robust image coding with a model of adaptive retinal processing
Author(s): Ramkumar Narayanswamy; Rachel Alter-Gartenberg; Friedrich O. Huck
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Paper Abstract

Object structure is one of the most important features for many imaging applications. In many applications in space recording the spatial structure adequately is a challenge due to the the wide range of illumination conditions encountered. Moreover communication constraints often limit the amount of data that can be transmitted. Motivated by these concerns we have developed a coding scheme which is robust to the variations in illumination conditions preserves high structural fidelity and provides high compression ratios. The high correlation between the original and decoded images demonstrates the potential of this coding scheme for machine vision applications.

Paper Details

Date Published: 1 March 1991
PDF: 11 pages
Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); doi: 10.1117/12.25351
Show Author Affiliations
Ramkumar Narayanswamy, Science and Technology Corp. (United States)
Rachel Alter-Gartenberg, Old Dominion Univ. (United States)
Friedrich O. Huck, NASA/Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 1385:
Optics, Illumination, and Image Sensing for Machine Vision V
Donald J. Svetkoff; Kevin G. Harding; Gordon T. Uber; Norman Wittels, Editor(s)

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