Guangzai Ran, Lei Xu, Dashuang Li, Zhanling Guo. PCB Image-Denoising Algorithm Based on Image Difference and Residual Learning[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210008
- Laser & Optoelectronics Progress
- Vol. 59, Issue 12, 1210008 (2022)
Fig. 1. Residual element
Fig. 2. Structure of PCB denoising algorithm
Fig. 3. ReLU function
Fig. 4. Training process of PCB denoising network
Fig. 5. Adam algorithm processing
Fig. 6. Experimental results of network structure ablation. (a) SGD optimizer; (b) Adam optimizer
Fig. 7. Denoising comparison experiment results. (a) Original image; (b) Gaussian noise image; (c) median filter algorithm; (d) wavelet transform algorithm; (e) DnCNN; (f) proposed algorithm
Fig. 8. Gray value histograms of image denoising. (a) Original image; (b) Gaussian noise image; (c) median filter algorithm; (d) wavelet transform algorithm; (e) DnCNN; (f) proposed algorithm
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Table 1. Number of images in noise dataset
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Table 2. Denoising experiment results of different algorithms
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Table 3. Average time of PCB image denoising
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