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J. Imaging 2017, 3(3), 24; https://doi.org/10.3390/jimaging3030024

RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement

Department of Communication Design Science, Kyushu University, Fukuoka 815-8540, Japan
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Received: 1 June 2017 / Revised: 27 June 2017 / Accepted: 27 June 2017 / Published: 1 July 2017
(This article belongs to the Special Issue Color Image Processing)
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Abstract

A large number of color image enhancement methods are based on the methods for grayscale image enhancement in which the main interest is contrast enhancement. However, since colors usually have three attributes, including hue, saturation and intensity of more than only one attribute of grayscale values, the naive application of the methods for grayscale images to color images often results in unsatisfactory consequences. Conventional hue-preserving color image enhancement methods utilize histogram equalization (HE) for enhancing the contrast. However, they cannot always enhance the saturation simultaneously. In this paper, we propose a histogram specification (HS) method for enhancing the saturation in hue-preserving color image enhancement. The proposed method computes the target histogram for HS on the basis of the geometry of RGB (rad, green and blue) color space, whose shape is a cube with a unit side length. Therefore, the proposed method includes no parameters to be set by users. Experimental results show that the proposed method achieves higher color saturation than recent parameter-free methods for hue-preserving color image enhancement. As a result, the proposed method can be used for an alternative method of HE in hue-preserving color image enhancement. View Full-Text
Keywords: color image enhancement; hue-preservation; histogram equalization; histogram specification; RGB color cube color image enhancement; hue-preservation; histogram equalization; histogram specification; RGB color cube
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Inoue, K.; Hara, K.; Urahama, K. RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement. J. Imaging 2017, 3, 24.

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