Statistical image modelling using interscale phase relationships of complex wavelet coefficients
M Miller, N Kingsbury - 2006 IEEE International Conference on …, 2006 - ieeexplore.ieee.org
M Miller, N Kingsbury
2006 IEEE International Conference on Acoustics Speech and Signal …, 2006•ieeexplore.ieee.orgA 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 …
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 …
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
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