7 July 2014 Color-to-grayscale conversion through weighted multiresolution channel fusion
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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.
© 2014 SPIE and IS&T
Tirui Wu, Tirui Wu, Alexander Toet, Alexander Toet, } "Color-to-grayscale conversion through weighted multiresolution channel fusion," Journal of Electronic Imaging 23(4), 043004 (7 July 2014). https://doi.org/10.1117/1.JEI.23.4.043004 . Submission:
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