[1] 欧攀, 张正, 路奎, 等. 基于卷积神经网络的遥感图像目标检测[J]. 激光与光电子学进展, 2019, 56(5): 051002.

    Ou P, Zhang Z, Lu K, et al. Object detection of remote sensing images based on convolutional neural networks[J]. Laser & Optoelectronics Progress, 2019, 56(5): 051002.

[2] Kang L W, Lin C W, Fu Y H. Automatic single-image-based rain streaks removal via image decomposition[J]. IEEE Transactions on Image Processing, 2012, 21(4): 1742-1755.

[3] Kim JH, LeeC, Sim JY, et al.Single-image deraining using an adaptive nonlocal means filter[C]∥2013 IEEE Transactions on Image Processing, September 15-18, 2013, Melbourne, VIC, Australia.New York: IEEE Press, 2013: 914- 917.

[4] Chen YL, Hsu CT. A generalized low-rank appearance model for spatial-temporally correlated rain streaks[C]∥2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia.New York: IEEE Press, 2013: 1968- 1975.

[5] LouY, XuY, JiH. Removing rain from a single image via discriminative sparse coding[C]∥2015 IEEE International Conference on Computer Vision, December 7-13, 2015, Santiago, Chile.New York: IEEE Press, 2015: 3397- 3405.

[6] LiY, Tan RT, GuoX, et al.Rain streak removal using layer priors[C]∥ 2016 IEEE Conference on Computer Vision and Pattern Recognition, June 26-July 1, 2016, Las Vegas, NV.New York: IEEE Press, 2016: 2736- 2744.

[7] ZhuL, Fu CW, LischinskiD, et al.Joint bi-layer optimization for single-image rain streak removal[C]∥2017 IEEE International Conference on Computer Vision, October 22-29, 2017, Venice, Italy.New York: IEEE Press, 2017: 2526- 2534.

[8] Fu X Y, Huang J B, Ding X H, et al. Clearing the skies: a deep network architecture for single-image rain removal[J]. IEEE Transactions on Image Processing, 2017, 26(6): 2944-2956.

[9] Fu XY, Huang JB, Zeng DL, et al.Removing rain from single images via a deep detail network[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 1715- 1723.

[10] He KM, Zhang XY, Ren SQ, et al.Deep residual learning for image recognition[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition, June 27-30, 2016, Las Vegas, NV, USA.New York: IEEE Press, 2016: 770- 778.

[11] Yang WH, Tan RT, Feng JS, et al. and removal from a single image[EB/OL]. ( 2017-03-13)[2020-09-24]. https: ∥arxiv.org/abs/1609. 07769.

[12] Zhang H, Sindagi V, Patel V M. Image de-raining using a conditional generative adversarial network[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019.

[13] ZhangH, Patel VM. Density-aware single image de-raining using a multi-stream dense network[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake, UT, USA.New York: IEEE Press, 2018: 695- 704.

[14] Fu X, Liang B, Huang Y, et al. Lightweight pyramid networks for image deraining[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(6): 1794-1807.

[15] Huang G, Liu Z. Maaten L V D, et al. Densely connected convolutional networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.

[16] 陈永, 郭红光, 艾亚鹏. 基于多尺度卷积神经网络的单幅图像去雾方法[J]. 光学学报, 2019, 39(10): 1010001.

    Chen Y, Guo H G, Ai Y P. Single image dehazing method based on multi-scale convolution neural network[J]. Acta Optica Sinica, 2019, 39(10): 1010001.

[17] 黄盛, 李菲菲, 陈虬. 基于改进深度残差网络的计算断层扫描图像分类算法[J]. 光学学报, 2020, 40(3): 0310002.

    Huang S, Li F F, Chen Q. Computed tomography image classification algorithm based on improved deep residual network[J]. Acta Optica Sinica, 2020, 40(3): 0310002.

[18] Huynh-Thu Q, Ghanbari M. Scope of validity of PSNR in image/video quality assessment[J]. Electronics Letters, 2008, 44(13): 800-801.

[19] Wang Z, Bovik A C, Sheikh H R, et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.