Statistical learning and prior image modeling

Cai-Feng Wang

doi:10.1117/12.920149

12 January 2012 Statistical learning and prior image modeling

Cai-Feng Wang

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 835012 (2012) https://doi.org/10.1117/12.920149
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

In order to overcome the limitations of piecewise constant phenomenon and computational burden which exist in Markov Random Field (MRF) with pair wise neighborhood and traditional learning style respectively, this paper proposes a clustering learning method from natural image database, no filters included. By this method, we get the distributive law of the blocks abstracted from natural images. Furthermore, we also do the prior image modeling according to the learned law. And the real application in image restoration illustrates its effectiveness by comparison between high order MRF prior model and pair wise MRF prior model.

Citation Download Citation

Cai-Feng Wang "Statistical learning and prior image modeling", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835012 (12 January 2012); https://doi.org/10.1117/12.920149

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