摘要： 结合非下采样Contourlet变换(NSCT)的多尺度、方向特性、各向异性、平移不变性以及泰勒级数高效逼近的优点，提出一种利用泰勒级数插值代替双线性插值的超分辨率图像重建算法。实验结果显示，该算法可以较好地恢复图像的细节信息和纹理特征，有效抵抗高斯噪声的干扰。

关键词: 泰勒级数, 非下采样Contourlet变换, 多尺度, 平移不变性, 超分辨率重建

Abstract: By combining the multiscale, multidirection, anisotropy and shift-invariant of Nonsubsampled Contourlet Transform(NSCT) transform and effective approach characteristic of Taylor series, this paper propose a superresolution image reconstruction algorithm, which uses Taylor series to replace double-line. Experimental result shows that the algorithm can recovery the detailed information and texture features of image, and resist Gaussian noise.

Key words: Taylor series, Nonsubsampled Contourlet Transform(NSCT), multiscale, shift-invariant, superresolution reconstruction

中图分类号: 

• TP391