计算机工程2011，Vol.37Issue(10)：189-191,3.DOI:10.3969/j.issn.1000-3428.2011.10.065
基于NSCT和泰勒级数的图像超分辨率重建
Image Superresolution Reconstruction Based on Nonsubsampled Contourlet Transform and Taylor Series
摘要
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 Ganssian noise.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Key words
Taylor series/ Nonsubsampled Contourlet Transform(NSCT)/ multiscale/ shift-invariant/ superresolution reconstruction分类
信息技术与安全科学引用本文复制引用
刘涛,张登福..基于NSCT和泰勒级数的图像超分辨率重建[J].计算机工程,2011,37(10):189-191,3.基金项目
国家部委基金资助项目 （）
