NDLI: Undecimated wavelet-based Bayesian denoising in mixed Poisson-Gaussian noise with application on medical and biological images

Content Provider	IEEE Xplore Digital Library
Author	Boubchir, L. Al-Maadeed, S. Bouridane, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Digital Technol., Univ. of Northumbria, Newcastle upon Tyne, UK (Boubchir, L.; Bouridane, A.) \|\| Dept. of Comput. Sci. & Eng., Qatar Univ., Doha, Qatar (Al-Maadeed, S.)
Abstract	Due to photon and readout noise biomedical images are generally contaminated by a mixed Poisson-Gaussian noise. In this paper, we propose a Bayesian image denoising methodology for images corrupted by a mixed Poisson-Gaussian noise. The proposed method first applies a Generalized Anscombe transform in order to convert the Poisson noise into Gaussian one. The PCM SαS Bayesian estimator using the undecimated wavelet transform is then performed to remove the Gaussian noise. Finally, the exact unbiased inverse of the Generalized Anscombe transformation is applied to improve the recovery of the estimated denoised image. The experiments on real medical and biological images show that the proposed approach outperforms the MS-VST method especially in the presence of a high Poisson-Gaussian noise. It also ensures a good compromise between the noise rejection and the conservation of fine details in the estimated denoised image.
Starting Page	1
Ending Page	5
File Size	1658459
Page Count	5
File Format	PDF
ISBN	9781479964628
ISSN	2154512X
e-ISBN	9781479964635
DOI	10.1109/IPTA.2014.7001926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms PSNR Noise reduction Bayesian denoisng mixed Poisson-Gaussian noise variance stabilization Phase change materials Generalized Anscombe transform symmetric α-stable prior wavelets biomedical imaging Bayes methods Biomedical image processing
Content Type	Text
Resource Type	Article

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