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| Denoising of Chinese calligraphy tablet images based on run-length statistics and structure characteristic of character strokes |
| ZHANG Jun-song, YU Jin-hui, MAO Guo-hong, YE Xiu-zi |
| State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310027, China; School of Computer Science, China University of Geosciences, Wuhan 430074, China |
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Abstract 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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Received: 06 April 2006
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