节点文献
基于再生核W空间的图像插值算法
Image Interpolation Algorithm Based on Reproducing Kernel
【摘要】 提出了一种基于再生核的图像插值方法。再生核源于不同学科分支,已成为函数逼近的重要工具。该方法将再生核的再生公式离散,并按照证明的再生核数值积分方法导出了新型的图像插值算法。新插值算法的优点是利用再生核的数学模型特点保持图像的边界信息和光滑性,促进了插值的整体性能。实验结果表明:该算法能够克服其它算法的缺点,获取的高分辨率图像既能够保持图像的边界信息,又能保证图像的光滑性。
【Abstract】 In this paper a novel image interpolation algorithm based on the reproducing kernel space W is pro- posed.Reproducing kernel developed in different disciplines has become an important tool for function approximation. The new method discretizes reproducing kernel and obtains interpolation formula with the proof of discrete integral. The advantages of the new interpolation method are the ability to keep the image edges and smoothness by model prop- erties of the reproducing kernel.Through comparisons with other algorithms it is shown that the new interpolation pro- duce higher quality,but visually it is very efficient at reducing jagged edges.
【Key words】 Image processing; Image interpolation; Approximation method; Reproducing kernel;
- 【文献出处】 计算机仿真 ,Computer Simulation , 编辑部邮箱 ,2007年03期
- 【分类号】TP391.41
- 【被引频次】6
- 【下载频次】157