Image denoising using wavelet Bayesian network models


A number of techniques have been developed to deal with image denoising, which is regarded as the simplest inverse problem. In this paper, we propose an approach that constructs a Bayesian network from the wavelet coefficients of a single image such that different Bayesian networks can be obtained from different input images. Then, we utilize the maximum-a… (More)
DOI: 10.1109/ICASSP.2012.6288080


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