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
L'utilisation de l'amélioration du contraste de l'image est devenue de plus en plus essentielle en raison de la nécessité de mieux afficher les informations visuelles contenues dans l'image pour tous les systèmes basés sur la vision. Cela a conduit à la conception d’une amélioration automatique du contraste puissante et précise pour une image numérique. L'égalisation de l'histogramme est la méthode d'amélioration du contraste la plus couramment utilisée. Cependant, les méthodes conventionnelles d'égalisation d'histogramme entraînent généralement une amélioration excessive du contraste, ce qui donne un aspect non naturel et des artefacts visuels à l'image traitée. Dans cet article, nous proposons une nouvelle méthode d'égalisation d'histogramme utilisant la séparation automatique d'histogramme ainsi que la fonction transformée par morceaux. Les résultats d’amélioration du contraste de la méthode proposée ont non seulement été analysés par inspection visuelle qualitative et pour une précision quantitative, mais sont également comparés aux résultats d’autres méthodes de pointe.
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Fan-Chieh CHENG, Shanq-Jang RUAN, "Image Quality Analysis of a Novel Histogram Equalization Method for Image Contrast Enhancement" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 7, pp. 1773-1779, July 2010, doi: 10.1587/transinf.E93.D.1773.
Abstract: The use of image contrast enhancement has become increasingly essential due to the need to better show the visual information contained within the image for all vision-based systems. This has lead to motivation for the design of a powerful and accurate automatic contrast enhancement for a digital image. Histogram equalization is the most commonly used contrast enhancement method. However, the conventional histogram equalization methods usually result in excessive contrast enhancement, which causes the unnatural look and visual artifacts of the processed image. In this paper, we propose a novel histogram equalization method using the automatic histogram separation along with the piecewise transformed function. The contrast enhancement results of the proposed method were not only analyzed through qualitative visual inspection and for quantitative accuracy, but are also compared to the results of other state-of-the-art methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1773/_p
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@ARTICLE{e93-d_7_1773,
author={Fan-Chieh CHENG, Shanq-Jang RUAN, },
journal={IEICE TRANSACTIONS on Information},
title={Image Quality Analysis of a Novel Histogram Equalization Method for Image Contrast Enhancement},
year={2010},
volume={E93-D},
number={7},
pages={1773-1779},
abstract={The use of image contrast enhancement has become increasingly essential due to the need to better show the visual information contained within the image for all vision-based systems. This has lead to motivation for the design of a powerful and accurate automatic contrast enhancement for a digital image. Histogram equalization is the most commonly used contrast enhancement method. However, the conventional histogram equalization methods usually result in excessive contrast enhancement, which causes the unnatural look and visual artifacts of the processed image. In this paper, we propose a novel histogram equalization method using the automatic histogram separation along with the piecewise transformed function. The contrast enhancement results of the proposed method were not only analyzed through qualitative visual inspection and for quantitative accuracy, but are also compared to the results of other state-of-the-art methods.},
keywords={},
doi={10.1587/transinf.E93.D.1773},
ISSN={1745-1361},
month={July},}
Copier
TY - JOUR
TI - Image Quality Analysis of a Novel Histogram Equalization Method for Image Contrast Enhancement
T2 - IEICE TRANSACTIONS on Information
SP - 1773
EP - 1779
AU - Fan-Chieh CHENG
AU - Shanq-Jang RUAN
PY - 2010
DO - 10.1587/transinf.E93.D.1773
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2010
AB - The use of image contrast enhancement has become increasingly essential due to the need to better show the visual information contained within the image for all vision-based systems. This has lead to motivation for the design of a powerful and accurate automatic contrast enhancement for a digital image. Histogram equalization is the most commonly used contrast enhancement method. However, the conventional histogram equalization methods usually result in excessive contrast enhancement, which causes the unnatural look and visual artifacts of the processed image. In this paper, we propose a novel histogram equalization method using the automatic histogram separation along with the piecewise transformed function. The contrast enhancement results of the proposed method were not only analyzed through qualitative visual inspection and for quantitative accuracy, but are also compared to the results of other state-of-the-art methods.
ER -