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Image Enhancement and Image Restoration for Old Document Image Using Genetic Algorithm

机译:基于遗传算法的旧文档图像增强与图像复原

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This paper presents the use of genetic algorithm in old document image enhancement and restoration. The term of ȁ8;old documentȁ9; is document coming from hundreds years ago. The purpose of the study is to preserve the information contained in old documents into a digital form, because the process to rescue the old images using physical approach is too slow. The main contribution of this study is in the development of its fitness function to select new population and the best new enhanced image. The experimental results also show the influence of using the median filter in the image preprocessing. The results show relatively effective image enhancement (92.9% data get more than 90% success rate), and in general the effect of using the median filter preprocessing is not good that makes blurring effect to the images (only 59.5% data get success rate above 90%).
机译:本文介绍了遗传算法在旧文档图像增强和还原中的应用。 ȁ8;旧文件ȁ9;是数百年前的文件。该研究的目的是将旧文档中包含的信息保存为数字形式,因为使用物理方法来恢复旧图像的过程太慢。这项研究的主要贡献在于其适应功能的发展,以选择新的人群和最佳的新增强形象。实验结果还显示了在图像预处理中使用中值滤波器的影响。结果显示了相对有效的图像增强(92.9%的数据获得了超过90%的成功率),并且通常使用中值滤波器预处理的效果不好,从而使图像模糊化(只有59.5%的数据获得了成功率以上90%)。

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