8/20 （ICCV2009）Super resolution from a single image
Classical SR 的過程， 即利用多張低分辨率圖像(subpixel misalignment)的相同位置的patch 來擬合成高分辨率圖像中的對應區域。 對於低分辨率圖像中的一點， 可以找到高分辨率圖像的一個 patch 進行對應。 該過程暫且可以寫成一個線性的約束表達式： 當這些區域之間有重疊的時候，就可以通過聯立方程求解了。這個就是Classical SR的一般性求解過程，這裏需要多
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相關文章
- 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】【論文閱讀】【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