Bi-Exponential Edge-Preserving Smoother

  title={Bi-Exponential Edge-Preserving Smoother},
  author={Philippe Th{\'e}venaz and Daniel Sage and Michael Unser},
  journal={IEEE Transactions on Image Processing},
Edge-preserving smoothers need not be taxed by a severe computational cost. We present, in this paper, a lean algorithm that is inspired by the bi-exponential filter and preserves its structure—a pair of one-tap recursions. By a careful but simple local adaptation of the filter weights to the data, we are able to design an edge-preserving smoother that has a very low memory and computational footprint while requiring a trivial coding effort. We demonstrate that our filter (a bi-exponential edge… CONTINUE READING
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