總結Deep Convolutional Neural Network for Image Deconvolution
一、該論文主要工作 設計了一個深度卷積神經網絡來捕獲degradation image的特點 該卷積神經網絡以一種新奇的方法結合了傳統基於優化的方案和神經網絡結構 引入可分離的卷積結構 該卷積神經網絡分爲兩個模塊，這兩個模塊都使用監督方式來訓練 二、Degradation image的形成 Degradation image就包括圖像模糊、圖像壓縮等等一系列的操作 (1) 其中 是非線性壓縮
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相關文章
- 1. Deep Convolutional Neural Network Architecture
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