Contrast-dependent spread filters
Matt M. Vaezi, Behnam Bavarian · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
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.