Solution-Driven Adaptive Total Variation Regularization
- Cite this paper as:
- Lenzen F., Berger J. (2015) Solution-Driven Adaptive Total Variation Regularization. In: Aujol JF., Nikolova M., Papadakis N. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2015. Lecture Notes in Computer Science, vol 9087. Springer, Cham
We consider solution-driven adaptive variants of Total Variation, in which the adaptivity is introduced as a fixed point problem. We provide existence theory for such fixed points in the continuous domain. For the applications of image denoising, deblurring and inpainting, we provide experiments which demonstrate that our approach in most cases outperforms state-of-the-art regularization approaches.
KeywordsRegularization Inverse problems Adaptive total variation Solution-driven adaptivity Fixed point problems Image restoration
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