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Proceedings Paper

Heuristic Approach For Video Image Enhancement
Author(s): James K. Chan; Curtis L. May; Andrew M. Chao
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Paper Abstract

Video Image Enhancement through adaptive noise filtering and edge sharpening is presented. The basic concepts behind this technique are the fact that with some kind of image segmentation, noise filtering can be performed in the nearly uniform region and edge sharpening only near an edge. The resulting algorithm is nonlinear and adaptive. It adapts globally to the input SNR and locally to the gradient magnitude. Implementation is quite simple. Performance is nonlinear and depends on the SNR of the original image. Effective video signal-to-noise ratio can be improved with minimal observable contouring effect, degradation in spatial resolution, and other artifacts.

Paper Details

Date Published: 28 December 1979
PDF: 10 pages
Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); doi: 10.1117/12.958225
Show Author Affiliations
James K. Chan, Magnavox Government and Industrial Electronics Company (United States)
Curtis L. May, Magnavox Government and Industrial Electronics Company (United States)
Andrew M. Chao, Magnavox Government and Industrial Electronics Company (United States)


Published in SPIE Proceedings Vol. 0207:
Applications of Digital Image Processing III
Andrew G. Tescher, Editor(s)

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