【摘要】 分析了小波双线性插值中高频外推阈值门限与重建图像峰值信噪比的变化关系,提出了峰值信噪比最大小波双线性插值迭代算法.提出的算法能够自动搜索到峰值信噪比最大的高频外推最佳阈值门限,实现了在不破坏光学遥感图像原始信息的情况下,提高图像的空间分辨率,有利于对图像的细节信息进行观察分析.实验结果表明,该算法重建图像的峰值信噪比比双线性插值和全小波插值重建图像的峰值信噪比高5 .5 dB和2 .5 dB,重建图像的熵增加到原图像的1 .3倍.更多还原

【Abstract】 The variable relationship between the threshold of the extrapolation and its correspondent Peak of the Signal-to-Noise Ratio (PSNR) in the Wavelet Bi-linear Interpolation Algorithm is deeply analyzed. The Maximal PSNR Wavelet Bi-linear Interpolation Iterative Algorithm is proposed. This algorithm can automatically search the optimal extrapolation threshold to improve the resolution of the optical remote sensing image without damaging its original information, which makes the detail information of the processed image more favorable to be observed and analyzed. The experiment results show that the PSNR of the image reconstructed by this algorithm is 5.5 dB and 2.5 dB higher than that of those reconstructed by the Bi-linear Interpolation and the Wavelet Scale-Function Interpolation respectively, and its entropy is 1.3 times of its original image. It is an effect algorithm to improve the spatial resolution and entropy of the Optical Remote Sensing Image.更多还原