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Proceedings Paper

Adaptive smoothing of images with local weighted regression
Author(s): Mark S. Levenson; David S. Bright; Jayaram Sethuraman
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Paper Abstract

We present a weighting scheme for local weighted regression designed to achieve tow goals: (1) to reduce noise within image regions of smoothly varying intensities; and (2) to maintain sharp boundaries between image regions. Such a procedure can function as a preprocessing step in ann image segmentation problem or simply as an image enhancement technique.

Paper Details

Date Published: 8 October 1996
PDF: 15 pages
Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); doi: 10.1117/12.253437
Show Author Affiliations
Mark S. Levenson, National Institute of Standards and Technology (United States)
David S. Bright, National Institute of Standards and Technology (United States)
Jayaram Sethuraman, Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 2823:
Statistical and Stochastic Methods for Image Processing
Edward R. Dougherty; Francoise J. Preteux; Jennifer L. Davidson, Editor(s)

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