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CorrC2G: Color to gray conversion by correlation


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Nafchi, Hossein Ziaei, Shahkolaei, Atena, Hedjam, Rachid and 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 : 31.

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Cheriet M 2017 15868 CorrC2G Color to gray conversion.pdf - Accepted Version
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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:

Item Type: Peer reviewed article published in a journal
Cheriet, Mohamed
Affiliation: Génie de la production automatisée
Date Deposited: 08 Nov 2017 19:28
Last Modified: 06 Mar 2018 16:46

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