文件名称:Wavelet_SR
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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.)
% 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.)
相关搜索: 小波变换超分辨率重建Matlab
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
Wavelet_SR.m | 4374 | 2017-11-08 |