Improving Image Quality of Surveillance Camera Images by Noise Removal Using Learning Method
Improving Image Quality of Surveillance Camera Images by Noise Removal Using Learning Method
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DOI：
10.1109/gcce56475.2022.10014141
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Daiki Akiyama;T. Goto
中科院分区：
文献类型：
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作者：
Daiki Akiyama;T. Goto
我们提出了一种图像去噪方法，结合BSRGAN，一种GAN，SwinIR与Transformer学习。我们还比较了用于训练的数据集，以获得合适的数据集。
We propose an image denoising method that combines BSRGAN, a type of GAN, and SwinIR with Transformer learning. We also compare the datasets used for training to obtain an appropriate dataset.