A Cascaded Convolutional Neural Network for Single Image Dehazing
1 模型設計 post-processing：對網絡估計出的傳播圖又用了導向濾波器進行後續的優化 2 訓練 數據集 NYU-V2 Depth dataset 前提：(1)全局大氣光B服從[0.7.1]均勻分佈;（2）大氣散射係數從[0.6，2.8]隨機選擇；（3）針對每個無霧清晰圖像以及對應的深度圖，我們隨機選擇5個全局大氣感和大氣散射係數，人工合成有霧圖像；（4）所有樣本採樣到207x154的大
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相關文章
- 1. A mixed-scale dense convolutional neural network for image analysis
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- 3. A Model-driven Deep Neural Network for Single Image Rain Removal閱讀分享
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