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  1. Paper_Otsu

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  2. If we know some properties of the image, than thresholding process only needs to ensure this property is satisfied. In a printed text image, if we know the ratio of area between the sheet and character, then we can choose satisfied threshold value
  3. 所属分类:Development Research

    • 发布日期:2017-11-26
    • 文件大小:7.03mb
    • 提供者:praditalaras
  1. SR-Gausian

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  2. Single Image Super-Resolution using Gaussian Process Regression Method
  3. 所属分类:Development Research

    • 发布日期:2017-05-13
    • 文件大小:2.51mb
    • 提供者:Comfort
  1. Machine-Learning-

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  2. Efficient Learning of Image Super-resolution and Compression Artifact Removal with Semi-Local Gaussian Proce-Efficient Learning of Image Super-resolution and Compression Artifact Removal with Semi-Local Gaussian Process
  3. 所属分类:Development Research

    • 发布日期:2017-05-03
    • 文件大小:801.44kb
    • 提供者:nil
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