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Extension of p-Laplace operator for image denoising
Linköping University, Linköping, Sweden.
Malmö högskola, Faculty of Technology and Society (TS).
Linköping University, Linköping, Sweden.
Heidelberg Collaboratory for Image Processing, Heidelberg University, Heidelberg, Germany.
2016 (English)In: System Modeling and Optimization, Springer, 2016, p. 107-116Conference paper, Published paper (Refereed)
Abstract [en]

In this work we introduce a novel operator ∆_(p;q) as an extended family of operators that generalize the p-Laplace operator. The operator is derived with an emphasis on image processing applications, and particularly, with a focus on image denoising applications. We propose a non-linear transition function, coupling p and q, which yields a non-linear ltering scheme analogous to adaptive spatially dependent total variation and linear ltering. Well-posedness of the nal parabolic PDE is established via pertubation theory and connection to classical results in functional analysis. Numerical results demonstrates the applicability of the novel operator∆_ (p;q).

Place, publisher, year, edition, pages
Springer, 2016. p. 107-116
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 494
Keywords [en]
p-Laplace operator, image denoising, anisotropic diffusion
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:mau:diva-12623DOI: 10.1007/978-3-319-55795-3_9Scopus ID: 2-s2.0-85018676931Local ID: 23810OAI: oai:DiVA.org:mau-12623DiVA, id: diva2:1409670
Conference
27th IFIP TC7 Conference on System Modelling and Optimization, Sophia Antipolis, France (June 29-July 3rd, 2015)
Available from: 2020-02-29 Created: 2020-02-29 Last updated: 2024-06-17Bibliographically approved

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Other links

Publisher's full textScopushttp://ifip2015.inria.fr/https://link.springer.com/chapter/10.1007/978-3-319-55795-3_9

Authority records

Cheng, YuanjiSvensson, Olof

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