理解《Unsupervised Deep Multi-focus Image Fusion》
理解《Unsupervised Deep Multi-focus Image Fusion》 1、概述 现有的基于卷积神经网络的多聚焦图像融合算法往往有以下两个瓶颈： 1、有监督算法依赖于大量的有标记数据。 2、在通过网络得到像素分类的得分图以后往往还会需要一系列的后处理操作来得到最终的得分图。 主要为了解决以上两点问题，作者提出了一种基于无监督学习的多聚焦图像融合算法。算法主要有以下特点： 1、
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相关文章
- 1. Unsupervised Deep Image Fusion With Structure Tensor Representations论文笔记
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