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Proceedings Paper

Restoration of video imagery by intensity-dependent spatial summation
Author(s): Phillip G. Harnden; Franklin F. Holly; Dale R. Shires
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Paper Abstract

A contrast-enhancement algorithm is described which avoids the 'flat', noisy appearance often produced by histogram equalization. This algorithm is based upon the Intensity-dependent spatial summation (IDS) model proposed by Cornsweet and Yellott to explain certain effects in human vision. However, where IDS collapses quantization levels except at edges and histogram equalization collapses some quantization levels in the process of expanding others, our algorithm largely preserves the original brightness gradations as it expands them. Thus, the shape-from-shading cues so important to the perception of form and contour are preserved. Also, this technique, in some cases, enhances high frequency noise to a far lesser extent than does histogram equalization.

Paper Details

Date Published: 1 October 1992
PDF: 10 pages
Proc. SPIE 1705, Visual Information Processing, (1 October 1992); doi: 10.1117/12.138455
Show Author Affiliations
Phillip G. Harnden, U.S. Army Human Engineering Lab. (United States)
Franklin F. Holly, U.S. Army Human Engineering Lab. (United States)
Dale R. Shires, U.S. Army Human Engineering Lab. (United States)

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

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