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- W4386230768 abstract "光场图像包含丰富的空间信息和角度信息，在三维重建、虚拟现实领域有广泛应用。但由于光场相机的内部限制，光场图像的低空间分辨率阻碍了其应用发展，具体表现为图像边缘区域的模糊。考虑到光场子孔径图像中空间信息包含着丰富的纹理和高频细节，而角度信息则对应不同视图之间的相关性，提出一种基于特征交互融合与注意力的光场图像超分辨率网络。通过特征提取和特征交互融合模块充分融合光场的空间角度信息；通过特征通道注意力模块自适应地学习有效信息，抑制冗余信息并细化图像的高频细节；通过光场结构一致性模块保持光场图像间的视差结构。在5个光场数据集上的实验结果表明，所提网络得到的超分辨率结果性能普遍优于所比较的超分辨率网络。" @default.
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- W4386230768 date "2023-01-01" @default.
- W4386230768 modified "2023-09-27" @default.
- W4386230768 title "基于特征交互融合与注意力的光场图像超分辨率" @default.
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- W4386230768 doi "https://doi.org/10.3788/lop221911" @default.
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