Decompositional algorithm for running stack filtering

Karen O. Egiazarian; Sos S. Agaian; David Zaven Gevorkian; Jaakko T. Astola

doi:10.1117/12.172575

1 May 1994 Decompositional algorithm for running stack filtering

Karen O. Egiazarian, Sos S. Agaian, David Zaven Gevorkian, Jaakko T. Astola

Proceedings Volume 2180, Nonlinear Image Processing V; (1994) https://doi.org/10.1117/12.172575
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

A new fast running filtering algorithm of decompositional type for realizing stack filters that are based on a subclass of positive Boolean functions, namely cyclic positive Boolean functions, is proposed. Peculiar to the presented algorithm is the use of Fibonacci p-codes, which make it possible to have a unified approach to running filtering, containing as special cases the complete threshold decomposition (when p is greater than the maximal value of input data) and the binary-tree threshold decomposition (when p equals 0). The choice of optimal value of p depends on the statistics of input data and reduces the complexity of running stack filtering.

Citation Download Citation

Karen O. Egiazarian, Sos S. Agaian, David Zaven Gevorkian, and Jaakko T. Astola "Decompositional algorithm for running stack filtering", Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); https://doi.org/10.1117/12.172575

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