Multispectral Image Generation from RGB Based on WSL Color Representation: Wavelength, Saturation, and Lightness

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers Pub Date : 2023-09-13 DOI:10.3390/computers12090182
Vaclav Skala
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Abstract

Image processing techniques are based nearly exclusively on RGB (red–green–blue) representation, which is significantly influenced by technological issues. The RGB triplet represents a mixture of the wavelength, saturation, and lightness values of light. It leads to unexpected chromaticity artifacts in processing. Therefore, processing based on the wavelength, saturation, and lightness should be more resistant to the introduction of color artifacts. The proposed process of converting RGB values to corresponding wavelengths is not straightforward. In this contribution, a novel simple and accurate method for extracting the wavelength, saturation, and lightness of a color represented by an RGB triplet is described. The conversion relies on the known RGB values of the rainbow spectrum and accommodates variations in color saturation.
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基于WSL颜色表示的RGB多光谱图像生成:波长、饱和度和亮度
图像处理技术几乎完全基于RGB(红-绿-蓝)表示,这受到技术问题的显著影响。RGB三元组表示光的波长、饱和度和亮度值的混合。它会在处理过程中导致意想不到的色度伪影。因此,基于波长、饱和度和明度的处理应更能抵抗彩色伪影的引入。将RGB值转换为相应波长的建议过程并不简单。在这篇贡献中,描述了一种新的简单而准确的方法来提取由RGB三重态表示的颜色的波长,饱和度和亮度。这种转换依赖于已知的彩虹光谱的RGB值,并适应色彩饱和度的变化。
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来源期刊
Computers
Computers COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.40
自引率
3.60%
发文量
153
审稿时长
11 weeks
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