复小波的亚像元图像重建及去噪方法
Subpixel image reconstruction and denoising based on complex wavelet
通过对亚像元理论的分析,对两帧错半个像元的遥感图像进行复小波插值,引入基于层间的小波自适应阈值方法去除噪声,并通过重构得到更高分辨率的遥感图像,同时,算法对遥感图像的复原效果好于常用的方法。
Composing superresolution of the remote sensing images can remedy the deficiency of the remote sensor. However, precision of the common interpolations are not high. The paper analyzes the subpixel theory of the remote sensing image and interpolates two images offsetting subpixel in order to reconstruct high resolution image. The algorithm of adaptive threshold wavelet denoising based inter-scale is used. Experiment results show this algorithm is better than common methods.
subpixel / complex wavelet / adaptive threshold / reconstruction / denosing
张智(1978-),男,黑龙江哈尔滨市人,南京理工大学计算机科学与技术学院在读博士研究生,主要研究方向为图像处理,模式识别
/
〈 |
|
〉 |