Optical Review

, Volume 20, Issue 6, pp 491–495 | Cite as

Image restoration with dual-prior constraint models based on Split Bregman

Regular Paper


In order to utilizing the local and non-local information in the image, we proposed a novel sparse scheme for image restoration in this paper. The new scheme includes two important contributions. The first one is that we extended the image prior model in conventional total variation to the dual-prior models for combining the local smoothness and non-local sparsity under regularization framework. The second one is we developed a modified iterative Split Bregman majorization method to solve the objective function with dual-prior models. The experimental results show that the proposed scheme achieved the state-of-the-art performance compared to the current restoration algorithms.


image restoration non-local sparsity Split Bregman total variation regularization 


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Copyright information

© The Optical Society of Japan 2013

Authors and Affiliations

  1. 1.Institute of Information and Communication EngineeringHarbin Engineering UniversityHarbinChina

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