This paper presents a color demosaicing method applied to the Bayer pattern color filter array (CFA). Reliable estimation of an edge direction, edge-directed asymmetric interpolation, and the use of color samples at immediate neighbors are considered as the key guidelines for smooth and sharp image restoration. Also, special interest is directed to local areas that are rich in high spatial frequency variations. For suppression of false colors likely to occur in those areas, a hue vector representation is introduced so that the spatial correlation between different color components may be exploited in consistent with the local constant-hue principle. Smoothing is repeated in the hue vector field a few times. Experimental results have shown preferable performances in terms of PSNR, CIELAB color difference, hue angle difference, CIE chromaticity and visual appearance, in particular resulting in less false colors.
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Yoshihisa TAKAHASHI, Kentaro HIRAKI, Hisakazu KIKUCHI, Shogo MURAMATSU, "Color Demosaicing Using Asymmetric Directional Interpolation and Hue Vector Smoothing" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 4, pp. 978-986, April 2008, doi: 10.1093/ietfec/e91-a.4.978.
Abstract: This paper presents a color demosaicing method applied to the Bayer pattern color filter array (CFA). Reliable estimation of an edge direction, edge-directed asymmetric interpolation, and the use of color samples at immediate neighbors are considered as the key guidelines for smooth and sharp image restoration. Also, special interest is directed to local areas that are rich in high spatial frequency variations. For suppression of false colors likely to occur in those areas, a hue vector representation is introduced so that the spatial correlation between different color components may be exploited in consistent with the local constant-hue principle. Smoothing is repeated in the hue vector field a few times. Experimental results have shown preferable performances in terms of PSNR, CIELAB color difference, hue angle difference, CIE chromaticity and visual appearance, in particular resulting in less false colors.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.4.978/_p
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@ARTICLE{e91-a_4_978,
author={Yoshihisa TAKAHASHI, Kentaro HIRAKI, Hisakazu KIKUCHI, Shogo MURAMATSU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Color Demosaicing Using Asymmetric Directional Interpolation and Hue Vector Smoothing},
year={2008},
volume={E91-A},
number={4},
pages={978-986},
abstract={This paper presents a color demosaicing method applied to the Bayer pattern color filter array (CFA). Reliable estimation of an edge direction, edge-directed asymmetric interpolation, and the use of color samples at immediate neighbors are considered as the key guidelines for smooth and sharp image restoration. Also, special interest is directed to local areas that are rich in high spatial frequency variations. For suppression of false colors likely to occur in those areas, a hue vector representation is introduced so that the spatial correlation between different color components may be exploited in consistent with the local constant-hue principle. Smoothing is repeated in the hue vector field a few times. Experimental results have shown preferable performances in terms of PSNR, CIELAB color difference, hue angle difference, CIE chromaticity and visual appearance, in particular resulting in less false colors.},
keywords={},
doi={10.1093/ietfec/e91-a.4.978},
ISSN={1745-1337},
month={April},}
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TY - JOUR
TI - Color Demosaicing Using Asymmetric Directional Interpolation and Hue Vector Smoothing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 978
EP - 986
AU - Yoshihisa TAKAHASHI
AU - Kentaro HIRAKI
AU - Hisakazu KIKUCHI
AU - Shogo MURAMATSU
PY - 2008
DO - 10.1093/ietfec/e91-a.4.978
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2008
AB - This paper presents a color demosaicing method applied to the Bayer pattern color filter array (CFA). Reliable estimation of an edge direction, edge-directed asymmetric interpolation, and the use of color samples at immediate neighbors are considered as the key guidelines for smooth and sharp image restoration. Also, special interest is directed to local areas that are rich in high spatial frequency variations. For suppression of false colors likely to occur in those areas, a hue vector representation is introduced so that the spatial correlation between different color components may be exploited in consistent with the local constant-hue principle. Smoothing is repeated in the hue vector field a few times. Experimental results have shown preferable performances in terms of PSNR, CIELAB color difference, hue angle difference, CIE chromaticity and visual appearance, in particular resulting in less false colors.
ER -