| Paper: | IMDSP-P13.8 | ||
| Session: | Image Modeling | ||
| Time: | Thursday, May 18, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Restoration and Enhancement | ||
| Title: | Statistical Image Modelling using Interscale Phase Relationships of Complex Wavelet Coefficients | ||
| Authors: | Mark Miller, Nick Kingsbury, University of Cambridge, United Kingdom | ||
| 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 (DTCWT) 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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