We propose a novel hue-correction scheme for multi-exposure image fusion (MEF). Various MEF methods have so far been studied to generate higher-quality images. However, there are few MEF methods considering hue distortion unlike other fields of image processing, due to a lack of a reference image that has correct hue. In the proposed scheme, we generate an HDR image as a reference for hue correction, from input multi-exposure images. After that, hue distortion in images fused by an MEF method is removed by using hue information of the HDR one, on the basis of the constant-hue plane in the RGB color space. In simulations, the proposed scheme is demonstrated to be effective to correct hue-distortion caused by conventional MEF methods. Experimental results also show that the proposed scheme can generate high-quality images, regardless of exposure conditions of input multi-exposure images.
Kouki SEO
Tokyo Metropolitan University
Chihiro GO
Tokyo Metropolitan University
Yuma KINOSHITA
Tokyo Metropolitan University
Hitoshi KIYA
Tokyo Metropolitan University
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Kouki SEO, Chihiro GO, Yuma KINOSHITA, Hitoshi KIYA, "Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 12, pp. 1562-1570, December 2020, doi: 10.1587/transfun.2020SMP0026.
Abstract: We propose a novel hue-correction scheme for multi-exposure image fusion (MEF). Various MEF methods have so far been studied to generate higher-quality images. However, there are few MEF methods considering hue distortion unlike other fields of image processing, due to a lack of a reference image that has correct hue. In the proposed scheme, we generate an HDR image as a reference for hue correction, from input multi-exposure images. After that, hue distortion in images fused by an MEF method is removed by using hue information of the HDR one, on the basis of the constant-hue plane in the RGB color space. In simulations, the proposed scheme is demonstrated to be effective to correct hue-distortion caused by conventional MEF methods. Experimental results also show that the proposed scheme can generate high-quality images, regardless of exposure conditions of input multi-exposure images.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020SMP0026/_p
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@ARTICLE{e103-a_12_1562,
author={Kouki SEO, Chihiro GO, Yuma KINOSHITA, Hitoshi KIYA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion},
year={2020},
volume={E103-A},
number={12},
pages={1562-1570},
abstract={We propose a novel hue-correction scheme for multi-exposure image fusion (MEF). Various MEF methods have so far been studied to generate higher-quality images. However, there are few MEF methods considering hue distortion unlike other fields of image processing, due to a lack of a reference image that has correct hue. In the proposed scheme, we generate an HDR image as a reference for hue correction, from input multi-exposure images. After that, hue distortion in images fused by an MEF method is removed by using hue information of the HDR one, on the basis of the constant-hue plane in the RGB color space. In simulations, the proposed scheme is demonstrated to be effective to correct hue-distortion caused by conventional MEF methods. Experimental results also show that the proposed scheme can generate high-quality images, regardless of exposure conditions of input multi-exposure images.},
keywords={},
doi={10.1587/transfun.2020SMP0026},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1562
EP - 1570
AU - Kouki SEO
AU - Chihiro GO
AU - Yuma KINOSHITA
AU - Hitoshi KIYA
PY - 2020
DO - 10.1587/transfun.2020SMP0026
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2020
AB - We propose a novel hue-correction scheme for multi-exposure image fusion (MEF). Various MEF methods have so far been studied to generate higher-quality images. However, there are few MEF methods considering hue distortion unlike other fields of image processing, due to a lack of a reference image that has correct hue. In the proposed scheme, we generate an HDR image as a reference for hue correction, from input multi-exposure images. After that, hue distortion in images fused by an MEF method is removed by using hue information of the HDR one, on the basis of the constant-hue plane in the RGB color space. In simulations, the proposed scheme is demonstrated to be effective to correct hue-distortion caused by conventional MEF methods. Experimental results also show that the proposed scheme can generate high-quality images, regardless of exposure conditions of input multi-exposure images.
ER -