https://scholars.lib.ntu.edu.tw/handle/123456789/559408
標題: | Shadow Removal of Text Document Images by Estimating Local and Global Background Colors | 作者: | Wang, J.-R. YUNG-YU CHUANG |
關鍵字: | document image processing; Document image shadow removal | 公開日期: | 2020 | 卷: | 2020-May | 起(迄)頁: | 1534-1538 | 來源出版物: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 摘要: | This paper proposes a simple yet effective method for removing shadows from text document images. Assuming that the document mainly contains texts, our method estimates the global and local background colors using statistical analysis of the whole image and local neighborhoods. By estimating the global and local background colors, we obtain the shadow map indicating the shadow ratio for each pixel. With the shadow map, a shadow-free image can be recovered by intrinsic decomposition. Experiments confirm that our method effectively removes the shadow of text document images regardless of the intensity, scope, and the number of shadows. © 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.url?eid=2-s2.0-85089219046&partnerID=40&md5=e709cf7d1c9a613b1390380ae5d35a7d https://scholars.lib.ntu.edu.tw/handle/123456789/559408 |
ISSN: | 15206149 | DOI: | 10.1109/ICASSP40776.2020.9053378 | SDG/關鍵字: | Color; Maps; Speech communication; Local neighborhoods; Shadow maps; Shadow ratio; Shadow removal; Text document images; Audio signal processing |
顯示於: | 資訊工程學系 |
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