Leu提出称作斜坡边界模型（ramp edge model） 的图像进行放大，同时保持源图像中的连续性与清晰度［Leu01］。以上所有这些方 法均可看成将离散数字图像建成连续数学模型。
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Classical interpolation method based on ramp edge model considers all the edges as strong edges, which results in weak edges' distortion.
基于斜坡边缘模型的经典插值方法把所有边缘归为强边缘，导致弱边缘过分增强而失真。
Through summarizing and analyzing various methods' characters and shortages, this paper proposes an image interpolation method based on ramp edge model.
通过总结和分析各算法的特点和不足，我们提出了基于斜坡边缘模型的图像插值方法。
The new histogram is very general and practical, which can be used for the threshold selection when the object is big or small and the edge model is ramp like or roof as well.
该直方图能同时用于大目标和小目标时以及边界是阶跃边缘和屋顶状边缘时的阈值选取，具有很大的通用性和实用性。
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