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Authors: Chul Hee Park ; Hyun Mook Oh and Moon Gi Kang

Affiliation: Yonsei University, Korea, Republic of

ISBN: 978-989-758-089-5

Keyword(s): Multi Spectral Image, Color Restoration, Spectral Estimation, Low Light Condition, Spectral Decomposition, Multi Filter Array, Infrared Cut Off Filter Removal.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: Imaging systems based on multispectral filter arrays(MSFA) can simultaneously acquire wide spectral information. A MSFA image sensor with R, G, B, and near-infrared(NIR) filters can obtain the mixed spectral information of visible bands and that of the NIR bands. Since the color filter materials used in MSFA sensors were almost transparent in the NIR range, the observed colors of multispectral images were degraded by the additional NIR spectral band information. To overcome this color degradation, a new signal processing approach is needed to separate the spectral information of visible bands from the mixed spectral information. In this paper, a color restoration method for imaging systems based on MSFA sensors is proposed. The proposed method restores the received image by removing NIR band spectral information from the mixed wide spectral information. To remove additional spectral information of the NIR band, spectral estimation and spectral decomposition were performed based on the spectral characteristics of the MSFA sensor. The experimental results show that the proposed method restored color information by removing unwanted NIR contributions to the RGB color channels. (More)

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Paper citation in several formats:
Park, C.; Oh, H. and Kang, M. (2015). Color Restoration for Infrared Cutoff Filter Removed RGBN Multispectral Filter Array Image Sensor.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 30-37. DOI: 10.5220/0005263600300037

@conference{visapp15,
author={Chul Hee Park. and Hyun Mook Oh. and Moon Gi Kang.},
title={Color Restoration for Infrared Cutoff Filter Removed RGBN Multispectral Filter Array Image Sensor},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={30-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005263600300037},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Color Restoration for Infrared Cutoff Filter Removed RGBN Multispectral Filter Array Image Sensor
SN - 978-989-758-089-5
AU - Park, C.
AU - Oh, H.
AU - Kang, M.
PY - 2015
SP - 30
EP - 37
DO - 10.5220/0005263600300037

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