Design of Interchannel MRF Model for Probabilistic Multichannel Image Processing

作者：Koo Hyung Il^*; Cho Nam Ik

来源：IEEE Transactions on Image Processing, 2011, 20(3): 601-611.

DOI：10.1109/TIP.2010.2073473

• Chrominance denoising
• chrominance interpolation
• Markov randiom field (MRF) model
• multichannel image processing
• satellite image fusion

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.

• 出版日期2011-3