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Hue-Preserving Saturation Improvement in RGB Color Cube

Kohei Inoue, Minyao Jiang, Kenji Hara

2021Journal of Imaging16 citationsDOIOpen Access PDF

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.

Topics & Concepts

HueRGB color modelColor histogramColor spaceArtificial intelligenceHistogram equalizationGamutRGB color spaceColor normalizationComputer visionColor balanceColor imageHistogramComputer scienceHSL and HSVColor depthSpectral colorMathematicsPrimary colorColor modelImage processingImage (mathematics)VirologyBiologyVirusImage Enhancement TechniquesColor Science and ApplicationsAdvanced Vision and Imaging
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