Dual Tree Complex Wavelet Transforms (DTCWT) have arisen a lot of interest in the last decade. With the possibility of computing characteristics which are rotation invariable and respond well to oscillations around singularities, shift variance, aliasing and the lack of directionality, DTCWT is an interesting tool to be analyzed and employed in a lot of stages of image processing, (among them being texture featuring). Characteristics that are well observable with the human eye, have to be scaled and transformed, in order to be compared and measured under the similarity aspects. A discussion and technical remarks on these aspects are presented, to well understand them, avoiding strange pitfalls.
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