图像背景在图像超分辨率中的作用研究
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1.中国科学院深圳先进技术研究院;2.悉尼大学

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Investigating the Function of Image Background in Image Super Resolution
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1.Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences;2.The University of Sydney

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    摘要:

    图像超分辨率是底层视觉领域的一项代表性任务,相关研究发现图像某个像素位置的重建质量与其周围的背景存在关联性,基于该现象,本文探索了通过分割输入图像来解释网络的新视角,提出了一种简单组合数据集,该数据集具有丰富的信息量,但单张图中只包含单一的纹理信息,我们证明了与目标区域纹理相近的背景更有利于模型在该区域的超分辨率重建,通过对比分析注意力机制与传统卷积神经网络,结论显示注意力结构更能帮助网络关注长程有效信息。

    Abstract:

    As a representative low-level vision problem, image super resolution (SR) aims to reconstruct the high-resolution image from its low-resolution counterpart. For a long time, the analysis of SR tasks is based on the whole image, while little works observe the input partition. In this paper, we find that the restoration quality of a certain position is inseparable from its surrounding image background. This phenomenon provides us a new perspective to explain the networks by splitting the input image. We construct a new hybrid dataset, of which the foreground and background contain only one kind of texture information. And then, we prove that the similar background could benefit the network restoration. By analyzing similarity and difference between the attention mechanism and the traditional CNN network, we show that the attention structure could help the network focus on long-range effective information. Moreover, a data enhancement method to improve the network final performance and potential future works are also proposed.

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引用本文

刘茜娜,顾津锦,董超.图像背景在图像超分辨率中的作用研究 [J].集成技术,

Citing format
LIU XI NA, GU JIN JIN, DONG CHAO. Investigating the Function of Image Background in Image Super Resolution[J]. Journal of Integration Technology.

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  • 收稿日期:2023-02-15
  • 最后修改日期:2023-02-15
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  • 在线发布日期: 2023-05-24
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