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On the Bayesian Wavelet Estimator of Fadili and Boubchir

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Abstract

Fadili and Boubchir (IEEE Trans Image Process, 14:231–240) proposed a Bayesian wavelet estimator for images based on Bessel K form densities. This paper although novel contained several inaccuracies. In this note, the inaccuracies are pointed out and exact expressions as well as computer programs are provided for computing two integrals discussed in Fadili and Boubchir (IEEE Trans Image Process, 14:231–240). Possible use of other methods based on Bayesian integration technology is also discussed.

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  1. University of Manchester, Manchester, M13 9PL, UK

    Saralees Nadarajah

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  1. Saralees Nadarajah
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Correspondence to Saralees Nadarajah.

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Nadarajah, S. On the Bayesian Wavelet Estimator of Fadili and Boubchir. Wireless Pers Commun 57, 207–216 (2011). https://doi.org/10.1007/s11277-009-9853-6

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  • DOI: https://doi.org/10.1007/s11277-009-9853-6

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