Maximum a posteriori image restoration based on a new directional continuous edge image prior | IEEE Conference Publication | IEEE Xplore

Maximum a posteriori image restoration based on a new directional continuous edge image prior


Abstract:

In this paper we propose a new hierarchical non stationary image prior for image restoration. This prior captures the directional edges using a continuous model and regul...Show More

Abstract:

In this paper we propose a new hierarchical non stationary image prior for image restoration. This prior captures the directional edges using a continuous model and regularizes accordingly the restored images. In addition, the corresponding generative graphical model does not contain cycles, thus learning this model is easy and fast. Based on this prior image model, a maximum a posteriori (MAP) estimation algorithm is derived. Numerical experiments are provided that demonstrate the advantages of the proposed non stationary model as compared with algorithms that use stationary models.
Date of Conference: 14-14 September 2005
Date Added to IEEE Xplore: 14 November 2005
Print ISBN:0-7803-9134-9

ISSN Information:

Conference Location: Genova, Italy

References

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