IEEE Trans Image Process - Bi-exponential edge-preserving smoother.

Tópicos

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Resumo

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-preserving smoother, or BEEPS) has formal links with the traditional bilateral filter. On a practical side, we observe that the BEEPS also produces images that are similar to those that would result from the bilateral filter, but at a much-reduced computational cost. The cost per pixel is constant and depends neither on the data nor on the filter parameters, not even on the degree of smoothing.

Resumo Limpo

edgepreserv smoother need tax sever comput cost present paper lean algorithm inspir biexponenti filter preserv structurea pair onetap recurs care simpl local adapt filter weight data abl design edgepreserv smoother low memori comput footprint requir trivial code effort demonstr filter biexponenti edgepreserv smoother beep formal link tradit bilater filter practic side observ beep also produc imag similar result bilater filter muchreduc comput cost cost per pixel constant depend neither data filter paramet even degre smooth

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