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Abstract
There is typically a great logic cost advantage in implementing an increasing filter versus a nonincreasing filter. An increasing filter often performs nearly as well as a nonincreasing filter if the required operation is an extensive or antiextensive mapping. Spatial resolution conversion typically requires a general (neither antiextensive nor extensive) image mapping. One approach is to represent a general mapping by a pair of extensive and antiextensive operators. This chapter presents a paired-erosion-based-filter architecture for performing the general image mappings required for optimal spatial resolution conversion. One member of the pair is an antiextensive operator while the other is extensive.
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