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Proceedings Paper

Visually optimized image reconstruction
Author(s): Aiman Albert Abdel-Malek; John J. Bloomer
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Paper Abstract

Exploiting human visual limitations in image reconstruction significantly reduces computational complexity. Based on a multiresolution pyramid image representation, direct and indirect exploitation of these limitations are attainable. In this study, direct exploitation of the variable acuity feature of the human visual system is achieved through tracking the viewer's fovea. Multiresolution images are reconstructed such that high resolution is assigned to a rectangular region, centered at the fovea, with spatial resolution dropping gradually with eccentricity. Indirect exploitation makes use of the human visual sensitivity to abrupt intensity changes (edges) in the image. Accordingly, high resolution need only be preserved within 2X2 pixel neighborhood around the detected edges while low resolution is assigned elsewhere. The amount of savings in the number of pixels rendered could be as high as 98% for the direct exploitation and may exceed 50% (depending on image edge density) for the indirect application.

Paper Details

Date Published: 1 October 1990
PDF: 6 pages
Proc. SPIE 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications, (1 October 1990); doi: 10.1117/12.19683
Show Author Affiliations
Aiman Albert Abdel-Malek, General Electric Corp. (United States)
John J. Bloomer, General Electric Corp. (United States)

Published in SPIE Proceedings Vol. 1249:
Human Vision and Electronic Imaging: Models, Methods, and Applications
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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