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Proceedings Paper

Contrast-dependent spread filters
Author(s): Matt Mehrzad Vaezi; Behnam Bavarian
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Paper Abstract

We propose the use of a compressive function of contrast measure ( - operator) as the spread of a Gaussian to be used in the context of the Intensity-Dependant Spread (IDS) and generalized IDS filters. It is shown that the new approach enhances the performance of the IDS filter such as smoothing ( noise reduction/rejection), avoids blurring of closely spaced edges and also if they are under low and nonuniform illumination functions. Simulation results verify that the time complexity of the CDS is one order of magnitude faster than the IDS filter in 1D. Illustrative examples comparing the two filters are presented.

Paper Details

Date Published: 1 June 1990
PDF: 8 pages
Proc. SPIE 1244, Image Processing Algorithms and Techniques, (1 June 1990); doi: 10.1117/12.19500
Show Author Affiliations
Matt Mehrzad Vaezi, Univ. of California/Irvine (United States)
Behnam Bavarian, Univ. of California/Irvine (United States)

Published in SPIE Proceedings Vol. 1244:
Image Processing Algorithms and Techniques
Robert J. Moorhead II; Keith S. Pennington, Editor(s)

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