To remove zigzag edges occurring in shift-linear interpolated image, this paper proposes an improved method based on the statistical features of the image.
针对平移线性插值算法存在的边缘锯齿问题，提出一种基于图像统计特征的平移线性插值方法。
In order to estimate and compensate fractional pel displacements, the image signal has to be interpolated.
为了估计和补偿小数像素的偏移量，必须对图像信号进行内插。
Then the result is interpolated into the next finer level of approximation image as a initial contour, and evolved with edge based and inter scales shape constrained ACM.
然后通过插值将结果向下一尺度低频图像传递，并利用尺度间形状约束和边界约束复合acm进一步细化曲线，使其符合局部图像特征，如此逐层重复直至原始图像。
Texture image interpolated by the novel model preserves the entire texture pattern; the jaggies in linear structure of texture is smoothed too.
使用双层约束模型处理纹理图像可以保持纹理特征，平滑纹理部分线形特征位置的块状效应。
It is even proved by theory and experiments that noisy image can be interpolated directly to the required size using this novel model.
最后理论和实验结果证明使用双层控制模型可以直接将噪声图像插值放大。
It is even proved by theory and experiments that noisy image can be interpolated directly to the required size using this novel model.
最后理论和实验结果证明使用双层控制模型可以直接将噪声图像插值放大。
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