3 February 2011 EM algorithm-based hyperparameters estimator for bayesian image denoising using BKF prior
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Abstract
This paper is devoted to a novel hyperparameters estimator for bayesian denoising of images using the Bessel K Forms prior which we recently developed. More precisely, this approach is based on the EM algorithm. The simulation results show that this estimator offers good performances and is slightly better compared to the cumulant-based estimator suggested in. A comparative study is carried to show the effectiveness of our bayesian denoiser based on EM algorithm compared to other denoisers developed in both classical and bayesian contexts. Our study has been effected on natural and medical images for gaussian and poisson noise removal.
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Larbi Boubchir, Larbi Boubchir, Bruno Durning, Bruno Durning, Eric Petit, Eric Petit, } "EM algorithm-based hyperparameters estimator for bayesian image denoising using BKF prior", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78700W (3 February 2011); doi: 10.1117/12.872233; https://doi.org/10.1117/12.872233
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