CUED Publications database

Statistical image modelling using interscale phase relationships of complex wavelet coefficients

Miller, M and Kingsbury, N (2006) Statistical image modelling using interscale phase relationships of complex wavelet coefficients. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2. II789-II792. ISSN 1520-6149

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Abstract

A novel method for modelling the statistics of 2D photographic images useful in image restoration is defined. The new method is based on the Dual Tree Complex Wavelet Transform (DT-CWT) but a phase rotation is applied to the coefficients to create complex coefficients whose phase is shift-invariant at multiscale edge and ridge features. This is in addition to the magnitude shift invariance achieved by the DT-CWT. The increased correlation between coefficients adjacent in space and scale provides an improved mechanism for signal estimation. © 2006 IEEE.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 12:20
Last Modified: 28 Nov 2014 19:06
DOI: