We present multiresolution spaces of complex rotation-covariant functions, deployed on the 2-D hexagonal lattice.
The designed wavelets, which are complex-valued, provide an important phase information for image analysis,
which is missing in the discrete wavelet transform with real wavelets. Moreover, the hexagonal lattice allows to
build wavelets having a more isotropic magnitude than on the Cartesian lattice. The associated filters, defined
in the Fourier domain, yield an efficient FFT-based implementation.
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