Denoising of Chinese calligraphy tablet images based on run-length statistics and structure characteristic of character strokes
In this paper, a novel approach is proposed for denoising of Chinese calligraphy tablet documents. The method includes two phases: First, a partial differential equations (PDE) based the total variation model and Otsu thresholding method are used to preprocess the calligraphy document image. Second,...
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Veröffentlicht in: | Journal of Zhejiang University. A. Science 2006-07, Vol.7 (7), p.1178-1186 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper, a novel approach is proposed for denoising of Chinese calligraphy tablet documents. The method includes two phases: First, a partial differential equations (PDE) based the total variation model and Otsu thresholding method are used to preprocess the calligraphy document image. Second, a new method based on run-length statistics and structure characteristics of Chinese characters is proposed to remove some random and ant-like noises. This includes the optimal threshold selection from histogram of run-length probability density, and improved Hough transform algorithm for line shape noise detection and removal. Examples are given in the paper to demonstrate the proposed method. |
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ISSN: | 1673-565X 1009-3095 1862-1775 |
DOI: | 10.1631/jzus.2006.A1178 |