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  1. No Access

    Article

    HFAN: High-Frequency Attention Network for hyperspectral image denoising

    During the last decades, learning-based deep neural network (DNN) has shown its advantages on hyperspectral image (HSI) denoising. Compared to classical prior-based methods, DNN-based algorithms employ a large...

    Chuansheng Yang, Chao Zhang, Haozhen Shen… in International Journal of Machine Learning … (2024)

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    Article

    FDDN: frequency-guided network for single image dehazing

    Haze appearing in natural scene images generally contains nonhomogeneous characteristics such as filaments, masses, and mist. The high-frequency part of hazy images contains variable background textures and ha...

    Haozhen Shen, Chao Wang, Liangjian Deng, Liangtian He… in Neural Computing and Applications (2023)

  3. No Access

    Article

    Pyramid feature boosted network for single image dehazing

    In this paper, a Pyramid Feature Boosted Network is proposed for single image dehazing, which leverages the encoder-decoder structure and benefits from two core modules to achieve high-quality image recovery. ...

    Guangrui Hu, Anhui Tan, Liangtian He… in International Journal of Machine Learning … (2023)