Fast Probabilistic Pseudo-Morphology for Noise Reduction in Color Images. (2016)

• Record Type: Journal Article
• Authors: Coliban, Radu-Mihai; Ivanovici, Mihai; Szekely, Iuliu
• Is Part Of: Procedia technology. Volume 22(2016)
• Page Start: 870
• Page End: 877
• Publication Date: 2016
• Subjects: Color image processing -- Mathematical morphology -- Probabilistic pseudo-morphology -- Color noise reduction -- OCCO filter; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2016.01.062
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: Mathematical morphology is a popular framework for non-linear image processing, first introduced for binary and gray-level images, then extended to color and multivariate images. Various pseudo-morphological frameworks have been proposed as solutions to the problem of ordering multivariate data. We propose an improvement of the existing color probabilistic pseudo-morphology by computing the pseudo-extrema of a color set in a faster way, leading to a smaller execution time. We show the usefulness of the new construction in the context of noise reduction in color images using an OCCO filter, by comparing our approach with a series of color morphologies and pseudo-morphologies.