RGBN multispectral images: A novel color restoration approach

Cristhian Aguilera; Xavier Soria; Angel D. Sappa; Ricardo Toledo

doi:10.1007/978-3-319-61578-3_15

RGBN multispectral images: A novel color restoration approach

Cristhian Aguilera, Xavier Soria, Angel D. Sappa^*, Ricardo Toledo

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

14 Citas (Scopus)

Resumen

This paper describes a color restoration technique used to remove NIR information from single sensor cameras where color and near-infrared images are simultaneously acquired—referred to in the literature as RGBN images. The proposed approach is based on a neural network architecture that learns the NIR information contained in the RGBN images. The proposed approach is evaluated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a naïve color correction technique based on mean square error minimization are provided.

Idioma original	Inglés
Título de la publicación alojada	Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017
Editores	Andrew T. Campbell, Fernando De la Prieta, Zita Vale, Luis Antunes, Maria N. Moreno, Vicente Julian, Tiago Pinto, Antonio J.R. Neves
Editorial	Springer Verlag
Páginas	155-163
Número de páginas	9
ISBN (versión impresa)	9783319615776
DOI	https://doi.org/10.1007/978-3-319-61578-3_15
Estado	Publicada - 2017
Publicado de forma externa	Sí
Evento	15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017 - Porto, Portugal Duración: 2017 → 2017

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	619
ISSN (versión impresa)	2194-5357

Conferencia

Conferencia	15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017
País/Territorio	Portugal
Ciudad	Porto
Período	21/06/17 → 23/06/17

Nota bibliográfica

Publisher Copyright:
© Springer International Publishing AG 2018.

Áreas temáticas de ASJC Scopus

Ingeniería de control y sistemas
Ciencia de la Computación General

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10.1007/978-3-319-61578-3_15

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Aguilera, C., Soria, X., Sappa, A. D., & Toledo, R. (2017). RGBN multispectral images: A novel color restoration approach. En A. T. Campbell, F. De la Prieta, Z. Vale, L. Antunes, M. N. Moreno, V. Julian, T. Pinto, & A. J. R. Neves (Eds.), Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 (pp. 155-163). (Advances in Intelligent Systems and Computing; Vol. 619). Springer Verlag. https://doi.org/10.1007/978-3-319-61578-3_15

Aguilera, Cristhian ; Soria, Xavier ; Sappa, Angel D. et al. / RGBN multispectral images : A novel color restoration approach. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. editor / Andrew T. Campbell ; Fernando De la Prieta ; Zita Vale ; Luis Antunes ; Maria N. Moreno ; Vicente Julian ; Tiago Pinto ; Antonio J.R. Neves. Springer Verlag, 2017. pp. 155-163 (Advances in Intelligent Systems and Computing).

@inproceedings{7b7bc7ee21b74d49be50a570688a34c7,

title = "RGBN multispectral images: A novel color restoration approach",

abstract = "This paper describes a color restoration technique used to remove NIR information from single sensor cameras where color and near-infrared images are simultaneously acquired—referred to in the literature as RGBN images. The proposed approach is based on a neural network architecture that learns the NIR information contained in the RGBN images. The proposed approach is evaluated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a na{\"i}ve color correction technique based on mean square error minimization are provided.",

keywords = "Free sensor model, Multispectral imaging, Neural network",

author = "Cristhian Aguilera and Xavier Soria and Sappa, {Angel D.} and Ricardo Toledo",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017 ; Conference date: 21-06-2017 Through 23-06-2017",

year = "2017",

doi = "10.1007/978-3-319-61578-3_15",

language = "English",

isbn = "9783319615776",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "155--163",

editor = "Campbell, {Andrew T.} and {De la Prieta}, Fernando and Zita Vale and Luis Antunes and Moreno, {Maria N.} and Vicente Julian and Tiago Pinto and Neves, {Antonio J.R.}",

booktitle = "Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017",

}

Aguilera, C, Soria, X, Sappa, AD & Toledo, R 2017, RGBN multispectral images: A novel color restoration approach. En AT Campbell, F De la Prieta, Z Vale, L Antunes, MN Moreno, V Julian, T Pinto & AJR Neves (eds.), Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. Advances in Intelligent Systems and Computing, vol. 619, Springer Verlag, pp. 155-163, 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017, Porto, Portugal, 21/06/17. https://doi.org/10.1007/978-3-319-61578-3_15

RGBN multispectral images: A novel color restoration approach. / Aguilera, Cristhian; Soria, Xavier; Sappa, Angel D. et al.
Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. ed. / Andrew T. Campbell; Fernando De la Prieta; Zita Vale; Luis Antunes; Maria N. Moreno; Vicente Julian; Tiago Pinto; Antonio J.R. Neves. Springer Verlag, 2017. p. 155-163 (Advances in Intelligent Systems and Computing; Vol. 619).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - RGBN multispectral images

T2 - 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017

AU - Aguilera, Cristhian

AU - Soria, Xavier

AU - Sappa, Angel D.

AU - Toledo, Ricardo

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2017

Y1 - 2017

N2 - This paper describes a color restoration technique used to remove NIR information from single sensor cameras where color and near-infrared images are simultaneously acquired—referred to in the literature as RGBN images. The proposed approach is based on a neural network architecture that learns the NIR information contained in the RGBN images. The proposed approach is evaluated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a naïve color correction technique based on mean square error minimization are provided.

AB - This paper describes a color restoration technique used to remove NIR information from single sensor cameras where color and near-infrared images are simultaneously acquired—referred to in the literature as RGBN images. The proposed approach is based on a neural network architecture that learns the NIR information contained in the RGBN images. The proposed approach is evaluated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a naïve color correction technique based on mean square error minimization are provided.

KW - Free sensor model

KW - Multispectral imaging

KW - Neural network

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U2 - 10.1007/978-3-319-61578-3_15

DO - 10.1007/978-3-319-61578-3_15

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T3 - Advances in Intelligent Systems and Computing

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BT - Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017

A2 - Campbell, Andrew T.

A2 - De la Prieta, Fernando

A2 - Vale, Zita

A2 - Antunes, Luis

A2 - Moreno, Maria N.

A2 - Julian, Vicente

A2 - Pinto, Tiago

A2 - Neves, Antonio J.R.

PB - Springer Verlag

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Aguilera C, Soria X, Sappa AD, Toledo R. RGBN multispectral images: A novel color restoration approach. En Campbell AT, De la Prieta F, Vale Z, Antunes L, Moreno MN, Julian V, Pinto T, Neves AJR, editores, Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. Springer Verlag. 2017. p. 155-163. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-61578-3_15

RGBN multispectral images: A novel color restoration approach

Resumen

Serie de la publicación

Conferencia

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