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Proceedings Paper

Adaptive image processing using rank-order filters with spatial connectivity of elements
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Paper Abstract

A new approach to design rank-order filters based on an explicit use of spatial relations between image elements is proposed. Many rank-order processing techniques may be implemented by applying the approach, such as noise suppression, local contrast enhancement, and local detail extraction. The performance of the proposed rank-order filters for suppression a strong impulsive noise in a test interferogram-like image is compared to conventional rank- order algorithms. The comparisons are made using a mean square error, a mean absolute error, and a subjective human visual error criteria.

Paper Details

Date Published: 28 December 2000
PDF: 12 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411577
Show Author Affiliations
Vitaly Kober, CICESE-Fisica Aplicada and Institute for Information Transmission Problems (United States)
Mikhail G. Mozerov, Institute for Information Transmission Problems (Russia)
Josue Alvarez-Borrego, CICESE-Fisica Aplicada (Mexico) (United States)


Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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