Nowadays one of the most important issue linked to image transform is to take
into account the singularities of a signal which is organized on more than one
dimension. The best example is the wavelet transform extension to two
dimensional signal analysis. The drawback when one pass from a one dimensional
signal process to a two dimensional signal process by simply using separability of
wavelet transform is the over representation of irregularities in the wavelet
transform domain. In order to decrease this drawback, second generation wavelet
transform tries to take geometrical aspects of the image into account in the
analysis of the image (one can find examples with bandelets, curvelets,
ridgelets and others).
2 layers bandelets or first generation bandelets is among the first wavelet
transform which uses the flow to enhance the efficiency of the process. The
present proposition is mainly theoretical : we will propose now a pratical
interpretation of this work in order to make a new implementation of the
transform.
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