Document Type

Journal Article

Department/Unit

Department of Mathematics

Title

A contrast maximization method for color-to-grayscale conversion

Language

English

Abstract

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.

Keywords

Color-to-grayscale, Convex optimization, Regularization

Publication Date

2015

Source Publication Title

Multidimensional Systems and Signal Processing

Volume

26

Issue

3

Start Page

869

End Page

877

Publisher

Springer Verlag

DOI

10.1007/s11045-014-0295-2

Link to Publisher's Edition

http://dx.doi.org/10.1007/s11045-014-0295-2

ISSN (print)

09236082

ISSN (electronic)

15730824

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