On the Bayesian Wavelet Estimator of Fadili and Boubchir

Authors:
Saralees Nadarajah
Affiliations:
University of Manchester, Manchester, UK M13 9PL
Venue:
Wireless Personal Communications: An International Journal
Year:
2011

Citing 3
Cited 0

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Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities

IEEE Transactions on Image Processing

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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.