Blind deblurring of noisy and blurry images of multi-scale convolutional neural network

Liu Pengfei; Zhao Huaici; Cao Feidao

doi:10.3788/irla201948.0426001

[1] Zhou Luoyu, Zhang Bao, Yang Yang. Estimation of parameter of defocused blurred image using Hough transform[J]. Infrared and Laser Engineering, 2012, 41(10): 2833-2837. (in Chinese)

[2] Whyte O, Zisserman A, Ponce J. Non-uniform deblurring for shaken images[J]. International Journal of Computer Vision, 2012, 98(2): 168-186.

[3] Sun Shijie, Zhao Huaici, Li Bo, et al. Blind deconvolution for noisy and blurry images using low rank prior[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1919-1926. (in Chinese)

[4] Kim T H, Lee K M. Segmentation-free dynamic scene deblurring[C]//Computer Vision and Pattern Recognition. IEEE, 2014: 2766-2773.

[5] Liu Tianci, Shi Zelin, Liu Yunpeng, et al. Geometry deep network image-set recognition method based on Grassmann manifolds[J]. Infrared and Laser Engineering, 2018, 47(7): 0703002. (in Chinese)

[6] Zhang Lamei, Chen Zexi, Zou Bin. Fine classification of polarimetric SAR images based on 3D convolutional neural network[J]. Infrared and Laser Engineering, 2018, 47(7): 0703001. (in Chinese)

[7] Schuler C, Hirsch M, Harmeling S, et al. Learning to deblur[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2016, 38(7): 1439-1451.

[8] Nah S, Kim T H, Lee K M. Deep Multi-scale convolutional neural network for dynamic scene deblurring[JJ]. IEEE Computer Vision and Pattern Recognition, 2017, 35(1): 257-265.

[9] Feng Jun, Yan Yuyu, Zhao Yan, et al. A terracotta image partition matching method based on learned invariant feature transform[J]. Optics and Precision Engineering, 2018, 26(7): 1774-1783. (in Chinese)

[10] Ji Huizhong, Jia Dayu, Dong Enqing, et al. Non-rigid registrations based on image characteristics and optical flows[J]. Optics and Precision Engineering, 2017, 25(9): 2469-2482. (in Chinese)

[11] Han Guangliang. Alignment between different source images by high frequency vector matching[J]. Chinese Optics, 2011, 4(5): 468-473. (in Chinese)

[12] He K, Zhang X, Ren S, et al. Deep residual learning for image recognition[J]. IEEE Computer Vision and Pattern Recognition, 2016, 90(1): 770-778.

[13] Yu Siquan, Han Zhi, Tang Yandong, et al. Texture synthesis method based on generative adversarial networks[J]. Infrared and Laser Engineering, 2018, 47(2): 0203005. (in Chinese)

[15] Lai W S, Huang J B, Hu Z, et al. A comparative study for single image blind deblurring[C]//Computer Vision and Pattern Recognition, IEEE, 2016: 1701-1709.