提高亚像元图像分辨率的小波B样条方法

Improvement of subpixel spatial by using wavelet transform and B-spline curve

基于亚像元动态成像技术,提出了将小波变换与B样条曲线相结合的方法来提高亚像元图像的空间分辨率.该方法先将亚像元图像用四条B样条曲线插值放大,把放大后的图像进行小波分解为低频及水平、垂直、对角方向的高频子图像,用原始低分辨图像替换子图中的低频部分后再进行小波反变换来重构高分辨率图像.仿真结果表明,与其他方法相比,本方法可得到更好的视觉效果及较高的尖峰信噪比,是一种提高光学遥感图像分辨率的有效算法.

From subpixel dynamic imaging technique, the interpolation based on wavelet transform and B-spline curve was used to improve the spacial solution of subpixel images. After subpixel images were magnified using four B-spline curves, the magnified images were decomposed to four types of high-frequency subimages by wavelet transform. Thus, the images with high resolution were obtained by inverse wavelet transform. The simulation results show that the proposed algorithm has a relative higher peak-signal-noise ratio than that of other methods, being an effective method to improve the resolution of optical remote sensing image.