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尼斯TD-Net:深度NESTA启发的展开网络,具有双路径解锁结构,用于图像压缩传感

Hongping Gan, Zhen Guo, Feng Liu

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 5, 2024
    PubMed
    概括

    通过将深度学习与NESTA算法集成,NESTD-Net可以增强深度压缩传感 (CS) 图像重建. 这种新的方法最大限度地减少了文物和信息丢失,在较低的采样率下提高了图像质量.

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