In this paper we analyze iterative regularization with the Bregman distance of the total variation semi norm. Moreover, we prove existence of a solution of the corresponding flow equation as introduced in [8] in a functional analytical setting using methods from convex analysis. The results are generalized to variational denoising methods with Lp-norm fit-to-data terms and Bregman distance regularization term. For the associated flow equations well–posedness is derived using recent results on metric gradient flows from [2]. In contrast to previous work the results of this paper apply for the analysis of variational denoising methods with the Bregman distance under adequate noise assumptions. Besides from the theoretical results we introduce a level set technique based on Bregman distance regularization for denoising of surfaces and demonstrate the efficiency of this method.

@Article{BFOS07,
  author       = {Burger, M. and Frick, K. and Osher, S. and Scherzer, O.},
  title        = {Inverse total variation flow},
  journal      = {SIAM Multiscale Mod. Simul.},
  volume       = {6},
  pages        = {366-395.},
  year         = {2007},
  url          = \{/2007/BFOS07},
}