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High-Quality Single-Pixel Imaging Based on Large-Kernel Convolution under Low-Sampling Conditions
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作者 Chenyu Yuan Yuanhao Su Chunfang Wang 《Chinese Physics Letters》 2025年第4期55-61,共7页
In recent years,deep learning has been introduced into the field of Single-pixel imaging(SPI),garnering significant attention.However,conventional networks still exhibit limitations in preserving image details.To addr... In recent years,deep learning has been introduced into the field of Single-pixel imaging(SPI),garnering significant attention.However,conventional networks still exhibit limitations in preserving image details.To address this issue,we integrate Large Kernel Convolution(LKconv)into the U-Net framework,proposing an enhanced network structure named U-LKconv network,which significantly enhances the capability to recover image details even under low sampling conditions. 展开更多
关键词 large kernel convolution lkconv recover image details U lkconv network high quality single pixel imaging U Net low sampling conditions enhanced network structure large kernel convolution
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