使用局部/非局部平滑滤波器去噪文本图像:比较研究

Fadoua Drira, Frank Lebourgeois
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引用次数: 8

摘要

文本文档图像去噪是本工作的主要问题。因此,我们介绍了两种最先进的去噪框架:局部和非局部平滑滤波器之间的比较研究。这两个框架的选择直接关系到它们处理本地数据损坏和面向过程模式(文本文档的主要特征)的能力。局部平滑滤波器采用各向异性扩散方法,而非局部滤波器引入非局部均值。在合成和真实退化的文档图像上进行的实验表明,所研究的框架在视觉质量甚至光学识别准确率方面的行为。
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Denoising Textual Images Using Local/Non-local Smoothing Filters: A Comparative Study
Textual document image denoising is the main issue of this work. Therefore, we introduce a comparative study between two state-of-the-art denoising frameworks : local and non-local smoothing filters. The choice of both of these frameworks is directly related to their ability to deal with local data corruption and to process oriented patterns, a major characteristic of textual documents. Local smoothing filters incorporate anisotropic diffusion approaches where as non-local filters introduce non-local means. Experiments conducted on synthetic and real degraded document images illustrate the behaviour of the studied frameworks on the visual quality and even on the optical recognition accuracy rates.
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