Local dip filtering with directional Laplacians
نویسنده
چکیده
Local dip filters attenuate or enhance features with a specified dip that may vary for each image sample. Because these multi-dimensional filters change with each sample, they should have a small number of coefficients that can be computed efficiently from local dips. They should handle features that are vertical as well as horizontal. They should have efficient and stable inverses that facilitate the design and application of more discriminate notch filters. Local dip filters constructed from approximations to directional Laplacians have these properties and are easily implemented in any number of dimensions.
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