[1] Qiao N S, Sun P. Circuitry detection in printed circuit board[J]. Acta Photonica Sinica, 42, 1355-1359(2013).

[2] Zhang X J, Ye W Z. An adaptive fourth-order partial differential equation for image denoising[J]. Computers & Mathematics With Applications, 74, 2529-2545(2017).

[3] Wu J. Wavelet domain denoising method based on multistage median filtering[J]. The Journal of China Universities of Posts and Telecommunications, 20, 113-119(2013).

[4] Dabov K, Foi A, Katkovnik V et al. Image denoising by sparse 3-D transform-domain collaborative filtering[J]. IEEE Transactions on Image Processing, 16, 2080-2095(2007).

[5] Yu L H, Cao L, Liu G D et al. An adaptive total variation denoising algorithm for printed circuit board images[J]. Infrared Technology, 40, 875-880(2018).

[6] Burger H C, Schuler C J, Harmeling S. Image denoising: can plain neural networks compete with BM3D?[C], 2392-2399(2012).

[7] Zhang K, Zuo W M, Chen Y J et al. Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising[J]. IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society, 26, 3142-3155(2017).

[8] Qian M, Zhang X Y, Li R C. Improved convolutional neural network for SAR image despeckling algorithm[J]. Computer Engineering and Applications, 56, 176-182(2020).

[9] Liu F, Song Q Z, Jin G H. The classification and denoising of image noise based on deep neural networks[J]. Applied Intelligence, 50, 2194-2207(2020).

[10] Zhang Y, Sun Y R, Liu Z X et al. Image difference detection of FOD based on RTK positioning[J]. Journal of Electronic Measurement and Instrumentation, 34, 51-56(2020).

[11] Cai Y F, Chen T Y, Wang J et al. Image noise reduction in computed tomography with non-local means algorithm based on adaptive filtering coefficients[J]. Acta Optica Sinica, 10, 0710001(2020).

[12] Londe P P, Chavan S A. Automatic PCB defects detection and classification using MATLAB[J]. International Journal of Current Engineering and Technology, 4, 31-36(2014).

[13] Wang Y L, Cao J T, Ji X F. PCB defect detection and recognition algorithm based on convolutional neural network[J]. Journal of Electronic Measurement and Instrumentation, 33, 78-84(2019).

[14] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[15] Pan T, Peng D, Yang W et al. A filter for SAR image despeckling using pre-trained convolutional neural network model[J]. Remote Sensing, 11, 2379(2019).

[16] Zhang K, Zuo W, Zhang L. FFDNet: toward a fast and flexible solution for CNN based image denoising[J]. IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society, 27, 4608-4622(2018).