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

Vitaly Kober; Mikhail G. Mozerov; Josue Alvarez-Borrego

doi:10.1117/12.411577

28 December 2000 Adaptive image processing using rank-order filters with spatial connectivity of elements

Vitaly Kober, Mikhail G. Mozerov, Josue Alvarez-Borrego

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411577
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Vitaly Kober, Mikhail G. Mozerov, and Josue Alvarez-Borrego "Adaptive image processing using rank-order filters with spatial connectivity of elements", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411577

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