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.
Maximum a posteriori image restoration based on a new directional continuous edge image prior
01.01.2005
457140 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Maximum a Posteriori Image Restoration Based on a New Directional Continuous Edge Image Prior
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