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Resource Efficient Hardware Architecture for Fast Computation of Running Max/Min Filters
2013
The Scientific World Journal
Running max/min filters on rectangular kernels are widely used in many digital signal and image processing applications. Filtering with ak×kkernel requires ofk2−1comparisons per sample for a direct implementation; thus, performance scales expensively with the kernel sizek. Faster computations can be achieved by kernel decomposition and using constant time one-dimensional algorithms on custom hardware. This paper presents a hardware architecture for real-time computation of running max/min
doi:10.1155/2013/108103
pmid:24288456
pmcid:PMC3833061
fatcat:gnztxwayzrbylk6mps75ae5ksa