8/20 （ICCV2009）Super resolution from a single image

时间 2021-01-09

标签 ~~~超分辨率重建~~~ 繁體版

原文原文链接

Classical SR 的过程，即利用多张低分辨率图像(subpixel misalignment)的相同位置的patch 来拟合成高分辨率图像中的对应区域。对于低分辨率图像中的一点，可以找到高分辨率图像的一个 patch 进行对应。该过程暂且可以写成一个线性的约束表达式：当这些区域之间有重叠的时候，就可以通过联立方程求解了。这个就是Classical SR的一般性求解过程，这里需要多

>>阅读原文<<

1. Super-Resolution from a Single Image 的算法原理整理_初版
2. Edge-Informed Single Image Super-Resolution
3. SR-Enhanced Deep Residual Networks for Single Image Super-Resolution
4. 【Super Resolution】【论文阅读】【CVPR2019】Second-order Attention Network for Single Image Super-Resolution
5. RAM: Residual Attention Module for Single Image Super-Resolution
6. SRFeat: Single Image Super-Resolution with Feature Discrimination
7. Enhanced Deep Residual Networks for Single Image Super-Resolution（EDSR）
8. An Attention-Based Approach for Single Image Super Resolution
9. Enhanced Deep Residual Networks for Single Image Super-Resolution
10. Triple Attention Mixed Link Network for Single Image Super Resolution
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1. Super-Resolution from a Single Image 的算法原理整理_初版
2. Edge-Informed Single Image Super-Resolution
3. SR-Enhanced Deep Residual Networks for Single Image Super-Resolution
4. 【Super Resolution】【论文阅读】【CVPR2019】Second-order Attention Network for Single Image Super-Resolution
5. RAM: Residual Attention Module for Single Image Super-Resolution
6. SRFeat: Single Image Super-Resolution with Feature Discrimination
7. Enhanced Deep Residual Networks for Single Image Super-Resolution（EDSR）
8. An Attention-Based Approach for Single Image Super Resolution
9. Enhanced Deep Residual Networks for Single Image Super-Resolution
10. Triple Attention Mixed Link Network for Single Image Super Resolution

>>更多相关文章<<