Fuzzy stack filtering under structural constraints

Akira Taguchi; Susumu Takaku

doi:10.1117/12.341078

5 March 1999 Fuzzy stack filtering under structural constraints

Akira Taguchi, Susumu Takaku

Proceedings Volume 3646, Nonlinear Image Processing X; (1999) https://doi.org/10.1117/12.341078
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Rank-order based filters have received considerable attention due to their inherent outlier rejection and detail preservation properties. One of important rank-order based filters is stack filters. There are two different approaches to design of stack filters. One might be called the structural approach, while the other might be called the estimation approach. On the other hand, we have proposed fuzzy stack filter in order to extend the class of stack filters. Fuzzy stack filters are very important for signal processing, because these filters include FIR filters and weighted median filters. In this paper, we develop an approach for finding optimal fuzzy stack filters under the structural constraints. The noise attenuation of fuzzy stack filters is studied. Finally, we apply the proposed fuzzy stack filters to image restoration problem.

Citation Download Citation

Akira Taguchi and Susumu Takaku "Fuzzy stack filtering under structural constraints", Proc. SPIE 3646, Nonlinear Image Processing X, (5 March 1999); https://doi.org/10.1117/12.341078

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