The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
HDRI(High Dynamic Range Imaging)는 실제 휘도의 동적 범위를 표현할 수 있는 일련의 기술을 의미합니다. 따라서 HDR 이미지를 사용하여 재료의 반사 특성을 측정할 수 있습니다. 이러한 HDR 이미지를 이용하여 재료의 원래 색상을 재현하기 위해서는 HDR 이미지의 특성화가 필요합니다. 본 연구에서는 HDR 수준의 알려진 조명 조건에서 새로운 HDRI 특성화 방법을 제안합니다. 제안하는 방법은 빛의 HDR 영상을 이용하여 HDR 영상을 정규화하고, 컬러 차트를 참조하여 톤의 균형을 맞춘다. 우리는 우리의 방법이 LDR 수준에서 평균 색상 차이와 BRDF 렌더링 결과에 의해 이전 방법보다 성능이 우수하다는 것을 입증합니다. 제안된 방법은 주어진 재료의 원래 색상을 훨씬 더 잘 재현합니다.
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부
Hyunjin YOO, Kang Y. KIM, Kwan H. LEE, "Color Calibration of HDR Image under a Known Illumination for Measuring Reflectance Property of Materials" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 12, pp. 2548-2552, December 2009, doi: 10.1587/transinf.E92.D.2548.
Abstract: High Dynamic Range Imaging (HDRI) refers to a set of techniques that can represent a dynamic range of real world luminance. Hence, the HDR image can be used to measure the reflectance property of materials. In order to reproduce the original color of materials using this HDR image, characterization of HDR imaging is needed. In this study, we propose a new HDRI characterization method under a known illumination condition at the HDR level. The proposed method normalizes the HDR image by using the HDR image of a light and balances the tone using the reference of the color chart. We demonstrate that our method outperforms the previous method at the LDR level by the average color difference and BRDF rendering result. The proposed method gives a much better reproduction of the original color of a given material.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.2548/_p
부
@ARTICLE{e92-d_12_2548,
author={Hyunjin YOO, Kang Y. KIM, Kwan H. LEE, },
journal={IEICE TRANSACTIONS on Information},
title={Color Calibration of HDR Image under a Known Illumination for Measuring Reflectance Property of Materials},
year={2009},
volume={E92-D},
number={12},
pages={2548-2552},
abstract={High Dynamic Range Imaging (HDRI) refers to a set of techniques that can represent a dynamic range of real world luminance. Hence, the HDR image can be used to measure the reflectance property of materials. In order to reproduce the original color of materials using this HDR image, characterization of HDR imaging is needed. In this study, we propose a new HDRI characterization method under a known illumination condition at the HDR level. The proposed method normalizes the HDR image by using the HDR image of a light and balances the tone using the reference of the color chart. We demonstrate that our method outperforms the previous method at the LDR level by the average color difference and BRDF rendering result. The proposed method gives a much better reproduction of the original color of a given material.},
keywords={},
doi={10.1587/transinf.E92.D.2548},
ISSN={1745-1361},
month={December},}
부
TY - JOUR
TI - Color Calibration of HDR Image under a Known Illumination for Measuring Reflectance Property of Materials
T2 - IEICE TRANSACTIONS on Information
SP - 2548
EP - 2552
AU - Hyunjin YOO
AU - Kang Y. KIM
AU - Kwan H. LEE
PY - 2009
DO - 10.1587/transinf.E92.D.2548
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2009
AB - High Dynamic Range Imaging (HDRI) refers to a set of techniques that can represent a dynamic range of real world luminance. Hence, the HDR image can be used to measure the reflectance property of materials. In order to reproduce the original color of materials using this HDR image, characterization of HDR imaging is needed. In this study, we propose a new HDRI characterization method under a known illumination condition at the HDR level. The proposed method normalizes the HDR image by using the HDR image of a light and balances the tone using the reference of the color chart. We demonstrate that our method outperforms the previous method at the LDR level by the average color difference and BRDF rendering result. The proposed method gives a much better reproduction of the original color of a given material.
ER -