【論文閱讀】Deep Joint Rain Detection and Removal from a Single Image
該論文發表於CVPR2017html 爲了更好地去除各類真實場景下的雨，包括大雨和雨線積累的狀況(rain streak accumulation，單個的雨線沒法看清，造成霧效)，做者提出了新的雨圖模型和去雨架構。web 模型&架構 新：雨圖模型 加入binary map。在現有模型的基礎上標出雨水的位置 加入兩個組件，表徵雨線積累和各類形狀、方向的雨水 原來公認的模型 O O O：帶雨的輸入圖像
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相關文章
- 1. 論文閱讀：Deep Joint Rain Detection and Removal from a Single Image
- 2. 【論文閱讀】Clearing the Skies: A deep network architecture for single-image rain removal
- 3. 論文閱讀：Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
- 4. 論文閱讀：Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
- 5. A Model-driven Deep Neural Network for Single Image Rain Removal閱讀分享
- 6. 論文閱讀：Removing rain from single images via a deep detail network
- 7. 論文閱讀：Rain Streak Removal for Single Image via Kernel Guided CNN
- 8. 《Automatic Estimation and Removal of Noise from a Single Image》閱讀筆記
- 9. 論文閱讀筆記----HDR image reconstruction from a single exposure using deep CNNs
- 10. 論文閱讀筆記--Joint High Dynamic Range Imaging and Super-Resolution from a Single Image