Description: 利用小波双线性超分辨率重建算法得到的重建图像会出现低、高频系数不匹配的现象，从而使得到的高分辨率图像灰度偏移。本文对该方法进行了改进，并引入局部适应插值得到更为理想的重建算法。即小波与局部适应插值结合算法。-Using Wavelet bilinear super-resolution reconstruction algorithm is the reconstructed image will appear low, high-frequency coefficients does not match the phenomenon, thereby enabling high-resolution image to be offset. In this paper, the method is improved, and the introduction of local interpolation to be better adapted to the reconstruction algorithm. That is, wavelet interpolation combined with the local adaptation algorithm. Platform: |
Size: 236544 |
Author:wangjikui |
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Description: 本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得
% 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分
% 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子
% 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高
% 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input.
% to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT.
The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT
% brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT)
% frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.) Platform: |
Size: 2048 |
Author:shuo111 |
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Search - wavelet super resolution matlab