Generalized and adaptive LUM smoothers for image filtering

M. Reza Hakami; Charles G. Boncelet Jr.

doi:10.1117/12.59665

1 June 1992 Generalized and adaptive LUM smoothers for image filtering

M. Reza Hakami, Charles G. Boncelet Jr.

Proceedings Volume 1668, Visual Data Interpretation; (1992) https://doi.org/10.1117/12.59665
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

We introduce an adaptive variant of the LUM smoother. The smoother operates on a sliding window and is designed to eliminate impulsive components with minimal distortion. In any particular window, the amount of filtering is adjusted based upon the quasi range measures of dispersion. As the results of simulations indicate, in most cases, the adaptive LUM smoother outperforms its fixed counterpart. Secondly, we generalize the two-stage LUM smoother to a multilevel order statistic filter. The generalization leads to the development of some useful filters: multiple window order statistic filters and asymmetric order statistic filters. We provide a detailed analytical and quantitative analysis of the proposed filters.

Citation Download Citation

M. Reza Hakami and Charles G. Boncelet Jr. "Generalized and adaptive LUM smoothers for image filtering", Proc. SPIE 1668, Visual Data Interpretation, (1 June 1992); https://doi.org/10.1117/12.59665

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