理解《Unsupervised Deep Multi-focus Image Fusion》
理解《Unsupervised Deep Multi-focus Image Fusion》 1、概述 現有的基於卷積神經網絡的多聚焦圖像融合算法往往有以下兩個瓶頸： 1、有監督算法依賴於大量的有標記數據。 2、在通過網絡得到像素分類的得分圖以後往往還會需要一系列的後處理操作來得到最終的得分圖。 主要爲了解決以上兩點問題，作者提出了一種基於無監督學習的多聚焦圖像融合算法。算法主要有以下特點： 1、
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相關文章
- 1. Unsupervised Deep Image Fusion With Structure Tensor Representations論文筆記
- 2. Hyperspectral Image Classification With Deep Feature Fusion Network
- 3. Multi-Modal Image Registration with Unsupervised Deep Learning
- 4. Unsupervised Learning: Deep Auto-encoder
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- 10. 論文閱讀：A Deep Tree-Structured Fusion Model for Single Image Deraining