Redirigiendo al acceso original de articulo en 22 segundos...
Inicio  /  Computers  /  Vol: 12 Par: 9 (2023)  /  Artículo
ARTÍCULO
TITULO

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

Vaclav Skala    

Resumen

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.

 Artículos similares

       
 
Mutum Bidyarani Devi, Rajagopalan Devanathan     Pág. 166 - 181
Earth?s observation satellites, such as IKONOS, provide simultaneously multispectral and panchromatic images. A multispectral image comes with a lower spatial and higher spectral resolution in contrast to a panchromatic image which usually has a high spa... ver más

 
Chiman Kwan    
The Curiosity rover has landed on Mars since 2012. One of the instruments onboard the rover is a pair of multispectral cameras known as Mastcams, which act as eyes of the rover. In this paper, we summarize our recent studies on some interesting image pro... ver más
Revista: Computers

 
Mónica Y. Moreno-Revelo, Lorena Guachi-Guachi, Juan Bernardo Gómez-Mendoza, Javier Revelo-Fuelagán and Diego H. Peluffo-Ordóñez    
Automatic crop identification and monitoring is a key element in enhancing food production processes as well as diminishing the related environmental impact. Although several efficient deep learning techniques have emerged in the field of multispectral i... ver más
Revista: Applied Sciences

 
Hongyin Han, Chengshan Han, Taiji Lan, Liang Huang, Changhong Hu and Xucheng Xue    
Shadow often results in difficulties for subsequent image applications of multispectral satellite remote sensing images, like object recognition and change detection. With continuous improvement in both spatial and spectral resolutions of satellite remot... ver más
Revista: Applied Sciences

 
Sante Francesco Rende, Alessandro Bosman, Rossella Di Mento, Fabio Bruno, Antonio Lagudi, Andrew D. Irving, Luigi Dattola, Luca Di Giambattista, Pasquale Lanera, Raffaele Proietti, Luca Parlagreco, Mascha Stroobant and Emilio Cellini    
In this study, we present a framework for seagrass habitat mapping in shallow (5?50 m) and very shallow water (0?5 m) by combining acoustic, optical data and Object-based Image classification. The combination of satellite multispectral images-acquired fr... ver más