Laser Technology, Volume. 47, Issue 3, 322(2023)
Low-quality image enhancement algorithm based on DDR GAN
[1] [1] AN Sh B, LOU H R, CHEN Sh W, et al. Research progress of rotating target detection methods based on deep learning[J]. Electronic Measurement Technology, 2021,44(21):168-178(in Chinese).
[2] [2] LI Y H, L X Q, GU Y, et al. Face detection algorithm based on improved S3FD network[J]. Laser Technology, 2021,45(6):722-728(in Chinese).
[5] [5] ZHAO W Q, KONG Z X, ZHOU Zh D,et al. Target detection algorithm of aerial remote sensing based on feature enhancement technology[J]. Journal of Image and Graphics, 2021,26(3): 644-653(in Chinese).
[6] [6] LI Y H, WANG J, LU L, et al. Lightweight real-time target detection model for remote sensing images[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1615007(in Chinese).
[8] [8] YANG B, YUN X, DONG K W, et al. Human’s dangerous action recognition in petrochemical scene using machine vision[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215001(in Chinese).
[10] [10] GOODFELLOW I, POUGET-ABADIE J, MIRZA M, et al. Generative adversarial nets[J]. Advances in Neural Information Processing Systems, 2014, 3(1): 2672-2680.
[11] [11] HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR). New York, USA: IEEE, 2016: 770-778.
[12] [12] JOHNSON J, ALAHI A, LI F F. Perceptual losses for real-time style transfer and super-resolution[M]. Berlin, Germany: Springer International Publishing, 2016: 694-711.
[13] [13] NAH S, KIM T H, LEE K M. Deep multi-scale convolutional neural network for dynamic scene deblurring[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR). New York, USA: IEEE, 2017: 257-265.
[14] [14] RAMAKRISHNAN S, PACHORI S, GANGOPADHYAY A, et al. Deep generative filter for motion deblurring[C]//Proceedings of the IEEE International Conference on Computer Vision. New York, USA: IEEE, 2017: 2993-3000.
[15] [15] KUPYN O, BUDZAN V, MYKHAILYCH M, et al. DeBlur GAN: Blind motion deblurring using conditional adversarial networks[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE, 2018: 8183-8192.
[16] [16] OUYANG Y. Total variation constraint GAN for dynamic scene deblurring[J]. Image and Vision Computing, 2019, 88: 113-119.
[17] [17] NIMISHA T M, SINGH A K, RAJAGOPALAN A N. Blur-invariant deep learning for blind-deblurring[C]//Proceedings of the IEEE International Conference on Computer Vision. New York, USA: IEEE, 2017: 4762-4770.
[18] [18] TAO X, GAO H, WANG Y, et al. Scale-recurrent network for deep image deblurring[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE, 2018: 8174-8182.
[19] [19] KUPYN O, MARTYNIUK T, WU J, et al. DeBlur GAN-V2: Deblurring (orders-of-magnitude) faster and better[C]//IEEE/CVF International Conference on Computer Vision (ICCV). New York, USA: IEEE, 2019: 8877-8886.
[20] [20] YONG Z, SHAO Y M, XI Z, et al. EDGAN: Motion deblurring algorithm based on enhanced generative adversarial networks[J]. The Journal of Supercomputing, 2020, 76(11): 1-16.
[21] [21] GUO Y D, LING F R, YAO J Q. Super-resolution reconstruction for terahertz images based on gradient transform[J]. Laser Technology, 2020, 44(3):271-277(in Chinese).
[23] [23] LI X L, LI G, DU Zh L. High fidelity single image blind deblur via GAN[J]. Wireless Networks, 2021, 2: 1-10.
[24] [24] HUANG G, LIU Z, LAURENS V, et al. Densely connected convolutional networks[C] //IEEE Conference on Computer Vision and Pattern Recognition (CVPR). New York, USA: IEEE, 2017: 2261-2269.
[25] [25] LEDIG C, THEIS L, HUSZAR F, et al. Photo-realistic single image super-resolution using a generative adversarial network[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR). New York, USA: IEEE, 2017: 105-114.
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TAO Xinchen, ZHU Tao, HUANG Yuling, GAO Tianman, HE Bo, WU Di. Low-quality image enhancement algorithm based on DDR GAN[J]. Laser Technology, 2023, 47(3): 322
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Received: Apr. 20, 2022
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Published Online: Dec. 5, 2023
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