Abstract
A set of eight linear spectral transformations which can be used in the design of two-dimensional digital filters is studied from a group-theoretic point of view. Several properties of the transformations, some of them known and some of them new, are deduced and are then applied in the implementation of 2-D digital filters. It is shown that trade-offs exist which can be used to reduce either the amount of memory required for the programming or the amount of data manipulation.
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References
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Prasad, K.P., Antoniou, A. & Bhattacharyya, B.B. On the properties of linear spectral transformations for 2-dimensional digital filters. Circuits Systems and Signal Process 2, 203–211 (1983). https://doi.org/10.1007/BF01599159
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DOI: https://doi.org/10.1007/BF01599159