Super-resolution method using generative adversarial network for Gaofen wide-field-view images
暂无分享,去创建一个
Menxin Wu | Ziyun Zhang | Chengming Zhang | Yingjuan Han | Hao Yin | Ailing Kong | Fangfang Chen | Chengming Zhang | Ziyun Zhang | Hao Yin | Yingjuan Han | Menxin Wu | Ailing Kong | Fangfang Chen
[1] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Xin Wang,et al. Perceptual-DualGAN: Perceptual Losses for Image to Image Translation with Generative Adversarial Nets , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).
[3] Jianfei Cai,et al. Pluralistic Image Completion , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Stephen Lin,et al. Super resolution using edge prior and single image detail synthesis , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] Rasim Latifovic,et al. Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training , 2018, Remote. Sens..
[6] Xiangjun Zhang,et al. Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation , 2008, IEEE Transactions on Image Processing.
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[9] Luc Van Gool,et al. A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution , 2014, ACCV.
[10] Yun Fu,et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.
[11] Kwang In Kim,et al. Ranking CGANs: Subjective Control over Semantic Image Attributes , 2018, BMVC.
[12] Angus G. Forbes,et al. Image Denoising Using A Generative Adversarial Network , 2019, 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT).
[13] Ming-Hsuan Yang,et al. Generative Face Completion , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[15] Michael Elad,et al. Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images , 1997, IEEE Trans. Image Process..
[16] Zhenzhong Chen,et al. Remote sensing image super-resolution: Challenges and approaches , 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).
[17] Dan Zhao,et al. A generative adversarial network for image denoising , 2019, Multimedia Tools and Applications.
[18] Yu-Bin Yang,et al. Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections , 2016, ArXiv.
[19] Zongxu Pan,et al. Super-Resolution of Remote Sensing Images Based on Transferred Generative Adversarial Network , 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.
[20] Thomas S. Huang,et al. Coupled Dictionary Training for Image Super-Resolution , 2012, IEEE Transactions on Image Processing.
[21] L. Wald,et al. Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images , 1997 .
[22] Xiaoou Tang,et al. Accelerating the Super-Resolution Convolutional Neural Network , 2016, ECCV.
[23] Harshad Rai,et al. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks , 2018 .
[24] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Tong Tong,et al. Image Super-Resolution Using Dense Skip Connections , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[27] Jocelyn Chanussot,et al. Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[28] Yu Qiao,et al. RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[29] Michael Elad,et al. On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.
[30] Mayank Dave,et al. Image-to-Image Translation Using Generative Adversarial Network , 2019, 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA).
[31] Thomas S. Huang,et al. Image super-resolution as sparse representation of raw image patches , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Hiroshi Ishikawa,et al. Globally and locally consistent image completion , 2017, ACM Trans. Graph..
[33] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[34] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[35] Luc Van Gool,et al. Anchored Neighborhood Regression for Fast Example-Based Super-Resolution , 2013, 2013 IEEE International Conference on Computer Vision.
[36] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Ming Yang,et al. Image Blind Denoising with Generative Adversarial Network Based Noise Modeling , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Lei Zhang,et al. Nonlocal back-projection for adaptive image enlargement , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[39] Kyoung Mu Lee,et al. Deeply-Recursive Convolutional Network for Image Super-Resolution , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Tao Liu,et al. Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product , 2019 .
[41] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[42] Qiang Chen,et al. Network In Network , 2013, ICLR.
[43] J. L. Harris,et al. Diffraction and Resolving Power , 1964 .
[44] Thomas S. Huang,et al. Multiframe image restoration and registration , 1984 .
[45] Narendra Ahuja,et al. Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Kwang In Kim,et al. Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes , 2018, ArXiv.
[47] Jun Li,et al. Satellite image super-resolution based on progressive residual deep neural network , 2020 .
[48] Yu Qiao,et al. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks , 2018, ECCV Workshops.
[49] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.