caa a22 4500 606199365 CHVBK 20210128100938.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11045-014-0295-2 doi (NATIONALLICENCE)springer-10.1007/s11045-014-0295-2 A contrast maximization method for color-to-grayscale conversion [Elektronische Daten] [Zhengmeng Jin, Michael Ng] In this paper, we study how to convert a color image to a grayscale image, and consider an effective contrast maximization method for color-to-grayscale conversion. Our method is based on the combination of red, green and blue channels pixel values. The optimization problem involves the maximization of the variance of the output grayscale image, the data-fitting term between the brightness of the input and output images. A regularization term is also added to make the resulting objective function to be convex and obtain a stable combination of red, green and blue pixel values. Experimental results on a set of benchmark color images are reported to demonstrate the effectiveness of the proposed method, and that its performance is better than those obtained by the other testing methods. Springer Science+Business Media New York, 2014 Color-to-grayscale nationallicence Convex optimization nationallicence Regularization nationallicence Jin Zhengmeng School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China aut Ng Michael Department of Mathematics, Center for Mathematical Imaging and Vision, Hong Kong Baptist University, Kowloon Tong, Hong Kong aut Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/3(2015-07-01), 869-877 0923-6082 26:3<869 2015 26 11045 https://doi.org/10.1007/s11045-014-0295-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 brief-communication jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11045-014-0295-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jin Zhengmeng School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China aut NATIONALLICENCE 700 1- Ng Michael Department of Mathematics, Center for Mathematical Imaging and Vision, Hong Kong Baptist University, Kowloon Tong, Hong Kong aut NATIONALLICENCE 773 0- Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/3(2015-07-01), 869-877 0923-6082 26:3<869 2015 26 11045