CorrC2G: Color to gray conversion by correlation

Nafchi, Hossein Ziaei, Shahkolaei, Atena, Hedjam, Rachid et Cheriet, Mohamed. 2017. « CorrC2G: Color to gray conversion by correlation ». IEEE Signal Processing Letters, vol. 24, nº 11. pp. 1651-1655.
Compte des citations dans Scopus : 34.

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Résumé

In this letter, a novel decolorization method is proposed to convert color images into grayscale. The proposed method, called CorrC2G, estimates the three global linear weighting parameters of the color to gray conversion by correlation. These parameters are estimated directly from the correlations between each channel of the RGB image and a contrast image. The proposed method works directly on the RGB channels; it does not use any edge information nor any optimization or training. The objective and subjective experimental results on three available benchmark datasets of color to gray conversion, e.g., Cadik, CSDD, and Color250, show that the proposed decolorization method is highly efficient and comparable to recent state-of-the-art decolorization methods. The MATLAB source code of the proposed method is available at: http://www.synchromedia.ca/system/files/CorrC2G.m.

Type de document:	Article publié dans une revue, révisé par les pairs
Professeur:	Professeur Cheriet, Mohamed
Affiliation:	Génie de la production automatisée
Date de dépôt:	08 nov. 2017 19:28
Dernière modification:	06 mars 2018 16:46
URI:	https://espace2.etsmtl.ca/id/eprint/15868

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