CUED Publications database

A Bayesian wavelet-based multidimensional deconvolution with sub-band emphasis

Zhang, Y and Kingsbury, N (2008) A Bayesian wavelet-based multidimensional deconvolution with sub-band emphasis. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". pp. 3024-3027.

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Abstract

This paper proposes a new algorithm for waveletbased multidimensional image deconvolution which employs subband-dependent minimization and the dual-tree complex wavelet transform in an iterative Bayesian framework. In addition, this algorithm employs a new prior instead of the popular ℓ1 norm, and is thus able to embed a learning scheme during the iteration which helps it to achieve better deconvolution results and faster convergence. © 2008 IEEE.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 12:15
Last Modified: 08 Dec 2014 02:29
DOI: