Image denoising using selective neighboring quaternionic wavelet coefficients

The development of the quaternion wavelet transform, Signal Processing, http://dx.doi.org/10. 1016/j.sigpro.2016.12.025 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. we then go on to detail published approaches to QWTs and to analyse them. We conclude with our own analysis of what it is that should define a QWT as being truly quaternionic and why all but a few of the "QWTs" we have described do not fit our definition.

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Image denoising using selective neighboring quaternionic wavelet coefficients

Cited by 2 publications

References 11 publications

Image denoising based on iterative generalized cross-validation and fast translation invariant

Image denoising based on iterative generalized cross-validation and fast translation invariant

The development of the quaternion wavelet transform

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