Wavelet-based image decomposition by variational functionals

Ingrid Daubechies; Gerd Teschke

doi:10.1117/12.516051

27 February 2004 Wavelet-based image decomposition by variational functionals

Ingrid Daubechies, Gerd Teschke

Author Affiliations +

Proceedings Volume 5266, Wavelet Applications in Industrial Processing; (2004) https://doi.org/10.1117/12.516051
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

Abstract

We discuss a wavelet based treatment of variational problems arising in the context of image processing, inspired by papers of Vese-Osher and Osher-Sole-Vese, in particular, we introduce a special class of variational functionals, that induce a decomposition of images in oscillating and cartoon components. Cartoons are often modeled by BV functions. In the setting of Vese et.el. and Osher et.al. the incorporation of BV penalty terms leads to PDE schemes that are numerically intensive. We propose to embed the problem in a wavelet framework. This provides us with elegant and numerically efficient schemes even though a basic requirement, the involvement of the space BV , has to be softened slightly. We show results on test images of our wavelet algorithm with a B¹₁ (L₁) penalty term, and we compare them with the BV restorations of Osher-Sole-Vese.

Citation Download Citation

Ingrid Daubechies and Gerd Teschke "Wavelet-based image decomposition by variational functionals", Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); https://doi.org/10.1117/12.516051

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