Hue-Preserving Saturation Improvement in RGB Color Cube

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Bibliographic Details
Title: Hue-Preserving Saturation Improvement in RGB Color Cube
Authors: Kohei Inoue, Minyao Jiang, Kenji Hara
Source: Journal of Imaging, Vol 7, Iss 150, p 150 (2021)
Publisher Information: MDPI AG
Publication Year: 2021
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: color image enhancement, hue preservation, saturation improvement, gamut problem, histogram equalization, histogram specification, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Description: This paper proposes a method for improving saturation in the context of hue-preserving color image enhancement. The proposed method handles colors in an RGB color space, which has the form of a cube, and enhances the contrast of a given image by histogram manipulation, such as histogram equalization and histogram specification, of the intensity image. Then, the color corresponding to a target intensity is determined in a hue-preserving manner, where a gamut problem should be taken into account. We first project any color onto a surface in the RGB color space, which bisects the RGB color cube, to increase the saturation without a gamut problem. Then, we adjust the intensity of the saturation-enhanced color to the target intensity given by the histogram manipulation. The experimental results demonstrate that the proposed method achieves higher saturation than that given by related methods for hue-preserving color image enhancement.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2313-433X/7/8/150; https://doaj.org/toc/2313-433X; https://doaj.org/article/15d553e809db40ecb7caba7f5a3c70b6
DOI: 10.3390/jimaging7080150
Availability: https://doi.org/10.3390/jimaging7080150
https://doaj.org/article/15d553e809db40ecb7caba7f5a3c70b6
Accession Number: edsbas.B53938DA
Database: BASE
Description
Abstract:This paper proposes a method for improving saturation in the context of hue-preserving color image enhancement. The proposed method handles colors in an RGB color space, which has the form of a cube, and enhances the contrast of a given image by histogram manipulation, such as histogram equalization and histogram specification, of the intensity image. Then, the color corresponding to a target intensity is determined in a hue-preserving manner, where a gamut problem should be taken into account. We first project any color onto a surface in the RGB color space, which bisects the RGB color cube, to increase the saturation without a gamut problem. Then, we adjust the intensity of the saturation-enhanced color to the target intensity given by the histogram manipulation. The experimental results demonstrate that the proposed method achieves higher saturation than that given by related methods for hue-preserving color image enhancement.
DOI:10.3390/jimaging7080150