A study of historical documents denoising

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI:10.1109/CISP-BMEI.2017.8301947

Guoming Chen, Qiang Chen, Xiongyong Zhu, Yiqun Chen

引用次数: 4

Abstract

In this paper we present a study on historical documents denoising methods and make visual quality performance comparison through Deep Residual Learning, Alternating Direction Method of Multiplier and Anisotropic diffusion PDE. Experimental results demonstrate their denoising visual quality performance and we make a comparison to in different condition respectively.

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历史文献去噪研究

本文对历史文献去噪方法进行了研究，并通过深度残差学习、乘法器交替方向法和各向异性扩散PDE进行了视觉质量性能比较。实验结果证明了它们的去噪视觉质量，并分别在不同条件下进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

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