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Design of Interchannel MRF Model for Probabilistic Multichannel Image Processing.
- Source :
-
IEEE Transactions on Image Processing . 03/01/2011, Vol. 20 Issue 3, p601-611. 11p. - Publication Year :
- 2011
-
Abstract
- In this paper, we present a novel framework that exploits an informative reference channel in the processing of another channel. We formulate the problem as a maximum a posteriori estimation problem considering a reference channel and develop a probabilistic model encoding the interchannel correlations based on Markov random fields. Interestingly, the proposed formulation results in an image-specific and region-specific linear filter for each site. The strength of filter response can also be controlled in order to transfer the structural information of a channel to the others. Experimental results on satellite image fusion and chrominance image interpolation with denoising show that our method provides improved subjective and objective performance compared with conventional approaches. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10577149
- Volume :
- 20
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Image Processing
- Publication Type :
- Academic Journal
- Accession number :
- 58126243
- Full Text :
- https://doi.org/10.1109/TIP.2010.2073473