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 1520-6149Full text not available from this repository.
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.
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Unnamed user with email email@example.com|
|Date Deposited:||15 Dec 2015 13:28|
|Last Modified:||09 Feb 2016 22:27|