超解像法を用いたナンバープレート文字の鮮明化の検討

Kotaro Kuba; Naoyuki Aikawa

doi:10.1541/ieejeiss.145.923

超解像法を用いたナンバープレート文字の鮮明化の検討

Kotaro Kuba
, Naoyuki Aikawa

電子システム工学科

研究成果: Article › 査読

抄録

Vehicle license plates contain a variety of information. Therefore, they are used in various systems such as crime prevention and transportation. In this paper, we use the BasicVSR++ model to sharpen vehicle license plates by super-resolution processing. Since the area of the region name is smaller than that of the number, the proposed method improves visibility by weighting the loss function according to the area during training.

寄稿の翻訳タイトル	Investigation of License Plate Character Enhancement Using Super-Resolution Techniques
本文言語	Japanese
ページ（範囲）	923-924
ページ数	2
ジャーナル	IEEJ Transactions on Electronics, Information and Systems
巻	145
号	10
DOI	https://doi.org/10.1541/ieejeiss.145.923
出版ステータス	Published - 2025

Keywords

deep learning
investigation of license plate character enhancement
super-resolution

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10.1541/ieejeiss.145.923

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引用スタイル

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abstract = "Vehicle license plates contain a variety of information. Therefore, they are used in various systems such as crime prevention and transportation. In this paper, we use the BasicVSR++ model to sharpen vehicle license plates by super-resolution processing. Since the area of the region name is smaller than that of the number, the proposed method improves visibility by weighting the loss function according to the area during training.",

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KW - investigation of license plate character enhancement

KW - super-resolution

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超解像法を用いたナンバープレート文字の鮮明化の検討

抄録

Keywords

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