基于非均匀B样条插值算法的图像放大

图像放大和缩小处理在实际生活中具有广泛的应用，常用的图像处理软件普遍采用插值方法进行放大和缩小，各种插值算法的实现是目前研究的热点。提出了基于三次B样条函数的插值算法，采用不同于传统算法的非均匀参数化方法，使得插值后的图像能够保持较高的清晰度和平滑度。针对图像边缘处的锯齿现象，该算法在图像插值时对边缘像素采用双三次插值，优化了图像边缘的视觉效果。实验结果表明，使用该算法放大后的图像平滑清晰，消除了图像边缘处的锯齿效应，取得了良好的效果。

Image enlargement based on non-uniform B-spline interpolation algorithm

Image enlargement and reduction are widely applied in real life.The popular image processing software commonly carries out magnification and reduction by interpolation methods.The realization of a variety of interpolation algorithms is now a hotspot for research.Now a new interpolation algorithm based on the non-uniform B-spline curve was proposed.By this way which applies a non-uniform parameterization method different from the traditional algorithms,the objective image after interpolation can maintain a h...