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Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid

In recent years, red, green, blue, and white (RGBW) color filter arrays (CFAs) have been developed to solve the problem of low-light conditions. In this paper, we propose a new color demosaicing algorithm for RGBW CFAs using a Laplacian pyramid. Because the white channel has a high correlation to th...

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Detalles Bibliográficos
Autores principales: Jeong, Kyeonghoon, Kim, Jonghyun, Kang, Moon Gi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030703/
https://www.ncbi.nlm.nih.gov/pubmed/35458966
http://dx.doi.org/10.3390/s22082981
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author Jeong, Kyeonghoon
Kim, Jonghyun
Kang, Moon Gi
author_facet Jeong, Kyeonghoon
Kim, Jonghyun
Kang, Moon Gi
author_sort Jeong, Kyeonghoon
collection PubMed
description In recent years, red, green, blue, and white (RGBW) color filter arrays (CFAs) have been developed to solve the problem of low-light conditions. In this paper, we propose a new color demosaicing algorithm for RGBW CFAs using a Laplacian pyramid. Because the white channel has a high correlation to the red, green, and blue channels, the white channel is interpolated first using each color difference channel. After we estimate the white channel, the red, green, and blue channels are interpolated using the Laplacian pyramid decomposition of the estimated white channel. Our proposed method using Laplacian pyramid restoration works with Canon-RGBW CFAs and any other periodic CFAs. The experimental results demonstrated that the proposed method shows superior performance compared with other conventional methods in terms of the color peak signal-to-noise ratio, structural similarity index measure, and average execution time.
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spelling pubmed-90307032022-04-23 Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid Jeong, Kyeonghoon Kim, Jonghyun Kang, Moon Gi Sensors (Basel) Article In recent years, red, green, blue, and white (RGBW) color filter arrays (CFAs) have been developed to solve the problem of low-light conditions. In this paper, we propose a new color demosaicing algorithm for RGBW CFAs using a Laplacian pyramid. Because the white channel has a high correlation to the red, green, and blue channels, the white channel is interpolated first using each color difference channel. After we estimate the white channel, the red, green, and blue channels are interpolated using the Laplacian pyramid decomposition of the estimated white channel. Our proposed method using Laplacian pyramid restoration works with Canon-RGBW CFAs and any other periodic CFAs. The experimental results demonstrated that the proposed method shows superior performance compared with other conventional methods in terms of the color peak signal-to-noise ratio, structural similarity index measure, and average execution time. MDPI 2022-04-13 /pmc/articles/PMC9030703/ /pubmed/35458966 http://dx.doi.org/10.3390/s22082981 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jeong, Kyeonghoon
Kim, Jonghyun
Kang, Moon Gi
Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid
title Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid
title_full Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid
title_fullStr Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid
title_full_unstemmed Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid
title_short Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid
title_sort color demosaicing of rgbw color filter array based on laplacian pyramid
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030703/
https://www.ncbi.nlm.nih.gov/pubmed/35458966
http://dx.doi.org/10.3390/s22082981
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