Titelaufnahme

Titel
A TGV Regularized Wavelet Based Zooming Model
Verfasser/ VerfasserinBredies, Kristian ; Holler, Martin
Erschienen in
Scale Space and Variational Methods in Computer Vision. 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings / Kuijper, Arjan, Berlin, 2013, S. 149-160
SpracheEnglisch
DokumenttypAufsatz in einem Sammelwerk
URNurn:nbn:at:at-ubg:3-837 Persistent Identifier (URN)
DOIdoi:10.1007/978-3-642-38267-3_13 
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A TGV Regularized Wavelet Based Zooming Model [1.77 mb]
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Zusammenfassung (Englisch)

We propose and state a novel scheme for image magnification. It is formulated as a minimization problem which incorporates a data fidelity and a regularization term. Data fidelity is modeled using a wavelet transformation operator while the Total Generalized Variation functional of second order is applied for regularization. Well-posedness is obtained in a function space setting and an efficient numerical algorithm is developed. Numerical experiments confirm a high quality of the magnified images. In particular, with an appropriate choice of wavelets, geometrical information is preserved.

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