IEEE Trans Image Process - Saliency-guided color-to-gray conversion using region-based optimization.

Tópicos

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Resumo

Image decolorization is a fundamental problem for many real-world applications, including monochrome printing and photograph rendering. In this paper, we propose a new color-to-gray conversion method that is based on a region-based saliency model. First, we construct a parametric color-to-gray mapping function based on global color information as well as local contrast. Second, we propose a region-based saliency model that computes visual contrast among pixel regions. Third, we minimize the salience difference between the original color image and the output grayscale image in order to preserve contrast discrimination. To evaluate the performance of the proposed method in preserving contrast in complex scenarios, we have constructed a new decolorization data set with 22 images, each of which contains abundant colors and patterns. Extensive experimental evaluations on the existing and the new data sets show that the proposed method outperforms the state-of-the-art methods quantitatively and qualitatively.

Resumo Limpo

imag decolor fundament problem mani realworld applic includ monochrom print photograph render paper propos new colortogray convers method base regionbas salienc model first construct parametr colortogray map function base global color inform well local contrast second propos regionbas salienc model comput visual contrast among pixel region third minim salienc differ origin color imag output grayscal imag order preserv contrast discrimin evalu perform propos method preserv contrast complex scenario construct new decolor data set imag contain abund color pattern extens experiment evalu exist new data set show propos method outperform stateoftheart method quantit qualit

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