Description: 超分辨率重建的硕士论文，详细介绍了现有超分辨率重建的常用算法，并提出基于小波的稳健的超分辨率图像重建算法，有考价值。-Super-resolution reconstruction of the master' s thesis, detailing the existing super-resolution reconstruction algorithm used, and the robustness of wavelet-based super-resolution image reconstruction algorithm, a test value. Platform: |
Size: 6187008 |
Author:路月 |
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Description: 基于小波和插值的超分辨率图像重建算法，通过插值后将小波分解应用于图像中，再通过逆变换得到重构图像-And interpolation based on wavelet super-resolution image reconstruction algorithm by interpolating the image after the wavelet decomposition used, then the reconstructed image through the inverse transform Platform: |
Size: 1024 |
Author:张卫 |
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Description: 基于小波和插值的超分辨率图像重建算法用于实现对图像的插值提高分辨率-Based on wavelet and interpolation of super-resolution image reconstruction algorithm is used to achieve improved resolution of the image interpolation Platform: |
Size: 1191936 |
Author:LD |
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Description: 本算法是：基于小波和插值的超分辨率图像重建算法，对学习重建和小波有很大的帮助，欢迎使用！-The algorithm is: super-resolution image reconstruction algorithm based on wavelet and interpolation, reconstruction and wavelet learning a great help, Welcome! Platform: |
Size: 80896 |
Author:李颖 |
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Description: 基于小波变换的图像超分辨处理，通过最小二乘法估计未知高频，得到分辨率更高的图像-Based on wavelet transform image super-resolution processing by the least squares method to estimate the unknown high frequency to obtain higher resolution images Platform: |
Size: 3072 |
Author:zhangyinglin |
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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 based super resolution