Contrast-dependent spread filters

Matt Mehrzad Vaezi; Behnam Bavarian

doi:10.1117/12.19500

1 June 1990 Contrast-dependent spread filters

Matt Mehrzad Vaezi, Behnam Bavarian

Proceedings Volume 1244, Image Processing Algorithms and Techniques; (1990) https://doi.org/10.1117/12.19500
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

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.

Citation Download Citation

Matt Mehrzad Vaezi and Behnam Bavarian "Contrast-dependent spread filters", Proc. SPIE 1244, Image Processing Algorithms and Techniques, (1 June 1990); https://doi.org/10.1117/12.19500

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