Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN

@article{Guan2020FixedPN,
  title={Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN},
  author={Juntao Guan and Rui Lai and Ai Xiong and Zesheng Liu and Lin Gu},
  journal={Neurocomputing},
  year={2020},
  volume={377},
  pages={301-313}
}
Abstract Existing fixed pattern noise reduction (FPNR) methods are easily affected by the motion state of the scene and working condition of the image sensor, which leads to over smooth effects, ghosting artifacts as well as slow convergence rate. To address these issues, we design an innovative cascade convolution neural network (CNN) model with residual skip connections to realize single frame blind FPNR operation without any parameter tuning. Moreover, a coarse-fine convolution (CF-Conv… Expand
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