IEEE Trans Image Process - An energy-based model for the image edge-histogram specification problem.

Tópicos

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Resumo

In this correspondence, we present an original energy-based model that achieves the edge-histogram specification of a real input image and thus extends the exact specification method of the image luminance (or gray level) distribution recently proposed by Coltuc et al. Our edge-histogram specification approach is stated as an optimization problem in which each edge of a real input image will tend iteratively toward some specified gradient magnitude values given by a target edge distribution (or a normalized edge histogram possibly estimated from a target image). To this end, a hybrid optimization scheme combining a global and deterministic conjugate-gradient-based procedure and a local stochastic search using the Metropolis criterion is proposed herein to find a reliable solution to our energy-based model. Experimental results are presented, and several applications follow from this procedure.

Resumo Limpo

correspond present origin energybas model achiev edgehistogram specif real input imag thus extend exact specif method imag lumin gray level distribut recent propos coltuc et al edgehistogram specif approach state optim problem edg real input imag will tend iter toward specifi gradient magnitud valu given target edg distribut normal edg histogram possibl estim target imag end hybrid optim scheme combin global determinist conjugategradientbas procedur local stochast search use metropoli criterion propos herein find reliabl solut energybas model experiment result present sever applic follow procedur

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