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Color-to-grayscale conversion through weighted multiresolution channel fusion

[+] Author Affiliations
Tirui Wu

Ford Motor Research and Engineering (Nanjing) Co. Ltd., No. 118 General Road, Jiangning Development Zone, Nanjing 211100, China

Alexander Toet

Utrecht University, Helmholtz Institute, The Netherlands and Department of Experimental Psychology, Utrecht, The Netherlands

TNO, Kampweg 5, 3769 DE Soesterberg, The Netherlands

J. Electron. Imaging. 23(4), 043004 (Jul 07, 2014). doi:10.1117/1.JEI.23.4.043004
History: Received April 9, 2014; Revised June 3, 2014; Accepted June 11, 2014
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Abstract.  We present a color-to-gray conversion algorithm that retains both the overall appearance and the discriminability of details of the input color image. The algorithm employs a weighted pyramid image fusion scheme to blend the R, G, and B color channels of the input image into a single grayscale image. The use of simple visual quality metrics as weights in the fusion scheme serves to retain visual contrast from each of the input color channels. We demonstrate the effectiveness of the method by qualitative and quantitative comparison with several state-of-the-art methods.

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Citation

Tirui Wu and Alexander Toet
"Color-to-grayscale conversion through weighted multiresolution channel fusion", J. Electron. Imaging. 23(4), 043004 (Jul 07, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.4.043004


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