You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
7 July 2014Color-to-grayscale conversion through weighted multiresolution channel fusion
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.
The alert did not successfully save. Please try again later.
Tirui Wu, Alexander Toet, "Color-to-grayscale conversion through weighted multiresolution channel fusion," J. Electron. Imag. 23(4) 043004 (7 July 2014) https://doi.org/10.1117/1.JEI.23.4.043004