Title: On global MDL-based multichannel image restoration and partitioning
Authors: Ivanovska, Tetyana
Hahn, Horst K.
Linsen, Lars
Citation: Journal of WSCG. 2012, vol. 20, no. 1, p. 11-19.
Issue Date: 2012
Publisher: Václav Skala - UNION Agency
Document type: článek
URI: http://wscg.zcu.cz/WSCG2012/!_2012-Journal-Full-1.pdf
ISSN: 1213-6972 (hardcopy)
1213–6980 (CD-ROM)
1213–6964 (on-line)
Keywords: segmentace;filtrace;minimální popisná délka;minimalizace energie;vícekanálový obraz
Keywords in different language: segmentation;filtration;minimum description length;energy minimization;multichannel images
Abstract: In this paper, we address the problem of multichannel image partitioning and restoration, which includes simultaneous denoising and segmentation processes. We consider a global approach for multichannel image partitioning using minimum description length (MDL). The studied model includes a piecewise constant image representation with uncorrelated Gaussian noise. We review existing single- and multichannel approaches and make an extension of the MDL-based grayscale image partitioning method for the multichannel case. We discuss the algorithm’s behavior with several minimization procedures and compare the presented method to state-of-the-art approaches such as Graph cuts, greedy region merging, anisotropic diffusion, and active contours in terms of convergence, speed, and accuracy, parallelizability and applicability of the proposed method.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Number 1 (2012)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/1061

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