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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Lors de la collecte d'images, en raison de l'influence de l'équipement de prise de vue, de l'environnement de prise de vue et d'autres facteurs, on obtient souvent des images à faible éclairage avec une exposition insuffisante. Pour les images faiblement éclairées, il est nécessaire d’améliorer le contraste. Dans cet article, une méthode d'amélioration du contraste d'une image couleur numérique basée sur l'ajustement du poids de luminance est proposée. Cette méthode améliore le contraste de l'image et conserve les détails et la nature de l'image. Dans le procédé proposé, l'éclairage de l'image d'égalisation de l'histogramme et la correction gamma adaptative avec distribution pondérée de l'image sont ajustés par le poids de luminance de w1 pour obtenir une image détaillée des zones lumineuses. Par la suite, le rétinex multi-échelle supprimé (MSR) est utilisé pour traiter l’image d’entrée et obtenir une image détaillée des zones sombres. Enfin, le poids de luminance w2 est utilisé pour ajuster la composante d'éclairage des images détaillées des zones claires et sombres, respectivement, pour obtenir l'image de sortie. Les résultats expérimentaux montrent que la méthode proposée peut améliorer les détails de l'image d'entrée et éviter une amélioration excessive du contraste, ce qui maintient bien le naturel de l'image d'entrée. De plus, nous avons utilisé la fonction d'erreur d'entropie discrète et d'ordre de luminosité pour effectuer une évaluation numérique afin de vérifier l'efficacité de la méthode proposée.
Yuyao LIU
Inner Mongolia University of Technology
Shi BAO
Inner Mongolia University of Technology
Go TANAKA
Nagoya City University
Yujun LIU
Inner Mongolia University of Technology
Dongsheng XU
Inner Mongolia University of Technology
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Yuyao LIU, Shi BAO, Go TANAKA, Yujun LIU, Dongsheng XU, "Digital Color Image Contrast Enhancement Method Based on Luminance Weight Adjustment" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 6, pp. 983-993, June 2022, doi: 10.1587/transfun.2021EAP1083.
Abstract: When collecting images, owing to the influence of shooting equipment, shooting environment, and other factors, often low-illumination images with insufficient exposure are obtained. For low-illumination images, it is necessary to improve the contrast. In this paper, a digital color image contrast enhancement method based on luminance weight adjustment is proposed. This method improves the contrast of the image and maintains the detail and nature of the image. In the proposed method, the illumination of the histogram equalization image and the adaptive gamma correction with weighted distribution image are adjusted by the luminance weight of w1 to obtain a detailed image of the bright areas. Thereafter, the suppressed multi-scale retinex (MSR) is used to process the input image and obtain a detailed image of the dark areas. Finally, the luminance weight w2 is used to adjust the illumination component of the detailed images of the bright and dark areas, respectively, to obtain the output image. The experimental results show that the proposed method can enhance the details of the input image and avoid excessive enhancement of contrast, which maintains the naturalness of the input image well. Furthermore, we used the discrete entropy and lightness order error function to perform a numerical evaluation to verify the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1083/_p
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@ARTICLE{e105-a_6_983,
author={Yuyao LIU, Shi BAO, Go TANAKA, Yujun LIU, Dongsheng XU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Digital Color Image Contrast Enhancement Method Based on Luminance Weight Adjustment},
year={2022},
volume={E105-A},
number={6},
pages={983-993},
abstract={When collecting images, owing to the influence of shooting equipment, shooting environment, and other factors, often low-illumination images with insufficient exposure are obtained. For low-illumination images, it is necessary to improve the contrast. In this paper, a digital color image contrast enhancement method based on luminance weight adjustment is proposed. This method improves the contrast of the image and maintains the detail and nature of the image. In the proposed method, the illumination of the histogram equalization image and the adaptive gamma correction with weighted distribution image are adjusted by the luminance weight of w1 to obtain a detailed image of the bright areas. Thereafter, the suppressed multi-scale retinex (MSR) is used to process the input image and obtain a detailed image of the dark areas. Finally, the luminance weight w2 is used to adjust the illumination component of the detailed images of the bright and dark areas, respectively, to obtain the output image. The experimental results show that the proposed method can enhance the details of the input image and avoid excessive enhancement of contrast, which maintains the naturalness of the input image well. Furthermore, we used the discrete entropy and lightness order error function to perform a numerical evaluation to verify the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transfun.2021EAP1083},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Digital Color Image Contrast Enhancement Method Based on Luminance Weight Adjustment
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 983
EP - 993
AU - Yuyao LIU
AU - Shi BAO
AU - Go TANAKA
AU - Yujun LIU
AU - Dongsheng XU
PY - 2022
DO - 10.1587/transfun.2021EAP1083
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2022
AB - When collecting images, owing to the influence of shooting equipment, shooting environment, and other factors, often low-illumination images with insufficient exposure are obtained. For low-illumination images, it is necessary to improve the contrast. In this paper, a digital color image contrast enhancement method based on luminance weight adjustment is proposed. This method improves the contrast of the image and maintains the detail and nature of the image. In the proposed method, the illumination of the histogram equalization image and the adaptive gamma correction with weighted distribution image are adjusted by the luminance weight of w1 to obtain a detailed image of the bright areas. Thereafter, the suppressed multi-scale retinex (MSR) is used to process the input image and obtain a detailed image of the dark areas. Finally, the luminance weight w2 is used to adjust the illumination component of the detailed images of the bright and dark areas, respectively, to obtain the output image. The experimental results show that the proposed method can enhance the details of the input image and avoid excessive enhancement of contrast, which maintains the naturalness of the input image well. Furthermore, we used the discrete entropy and lightness order error function to perform a numerical evaluation to verify the effectiveness of the proposed method.
ER -