The wavelets also have spatial-frequency and orientation bandwidths which are comparable with biological values.Īlthough the classical Gabor wavelet model is a more accurate description of the receptive fields of individual V1 neurons, the BWT has some interesting advantages. Like these receptive fields, BWT wavelets are localised in space, tuned in spatial frequency and orientation, and form a set that is approximately scale invariant. The BWT shares many characteristics with the receptive fields of neurons in mammalian primary visual cortex (V1). By translation and scaling of the whole set (plus a single DC term), the wavelets form a complete, orthonormal basis in two dimensions. Within each pair, one wavelet has odd symmetry, and the other has even symmetry. The BWT comprises four pairs of mother wavelets, at four orientations. We describe the Berkeley Wavelet Transform (BWT), a two-dimensional triadic wavelet transform.
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