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兰州理工大学 [30]

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期刊论文 [21]

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	Inverted N-Type Lightweight Network Based on Back Projection for Image Super-Resolution Reconstruction 期刊论文 Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 卷号: 34, 期号: 6, 页码: 923-932 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Hui, Yongyong; Jiang, Hongmei 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/07/20 Deep learning Image reconstruction Optical resolving power Signal to noise ratio Backprojections Deep learning Image super-resolution reconstruction Inverted N-type network Low resolution images Network-based Reconstruction algorithms Resolution images Super-resolution reconstruction Superresolution
	Fusing Attention Network based on Dilated Convolution for Super Resolution 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2022 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Hui, Yongyong; Jiang, Hongmei 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/07/20 Convolution Data mining Filtration Image reconstruction Locks (fasteners) Optical resolving power Quality control Dilated convolutional attention module. Features extraction High-frequency informations Images reconstruction Information filter Multi feature attention block Multifeatures Single super resolution Superresolution
	Accurate recognition of heterogeneous features in super resolution image visualization based on voice remote control system 期刊论文 INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2021 作者: Wang, Xuyang; Liu, Shijian 收藏 \| 浏览/下载：4/0 \| 提交时间：2021/12/17 Super resolution image Heterogeneous features Feature recognition Convolution neural network PCA Dimension reduction
	Progressive back-projection network for COVID-CT super-resolution 期刊论文 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 208 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Hui, Yongyong; Jiang, Hongmei 收藏 \| 浏览/下载：4/0 \| 提交时间：2021/10/14 COVID-CT Super-resolution Progressive back-projection network Residual attention module Up-projection and down-projection residual module
	Gradual deep residual network for super-resolution 期刊论文 Multimedia Tools and Applications, 2021, 卷号: 80, 期号: 7, 页码: 9765-9778 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Jiang, Hongmei 收藏 \| 浏览/下载：2/0 \| 提交时间：2021/06/03 Deep neural networks Image enhancement Optical resolving power Benchmark datasets High resolution image Low resolution images Quantitative evaluation Reconstruction networks Reconstruction process State-of-the-art methods Visual evaluation
	Mural Image Super Resolution Reconstruction Based on Multi-Scale Residual Attention Network 期刊论文 LASER & OPTOELECTRONICS PROGRESS, 2020, 卷号: 57, 期号: 16 作者: Xu Zhigang; Yan Juanjuan; Zhu Honglei 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/03/01 super-resolution mural image residual network attention mechanism multi-scale feature
	Single-image super-resolution via joint statistic models-guided deep auto-encoder network 期刊论文 Neural Computing and Applications, 2020, 卷号: 32, 期号: 9, 页码: 4885-4896 作者: Chen, Rong; Qu, Yanyun; Li, Cuihua; Zeng, Kun; Xie, Yuan 收藏 \| 浏览/下载：4/0 \| 提交时间：2020/11/14 Benchmarking Deep neural networks Image denoising Image resolution Iterative methods Network coding Optical resolving power Signal to noise ratio Non-local similarities Peak signal to noise ratio Regularization framework Single images Split Bergman iteration Split bregman iterations Steering kernel regressions Total variation regularization
	Single color image super-resolution using sparse representation and color constraint 期刊论文 JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2020, 卷号: 31, 期号: 2, 页码: 266-271 作者: Xu Zhigang; Ma Qiang; Yuan Feixiang 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/06/16 color image sparse representation super-resolution L-2/3 regularization norm color channel constraint
	Single-image super-resolution via joint statistic models-guided deep auto-encoder network neural 期刊论文 Neural Computing and Applications, 2020, 卷号: 32, 期号: 9, 页码: 4885–4896 作者: Rong Chen; Yanyun Qu; Cuihua Li; Kun Zeng; Yuan Xie 收藏 \| 浏览/下载：5/0 \| 提交时间：2020/11/11 Non-local similarity Split Bergman iteration Steering kernel regression Single-image super-resolution
	Super-Resolution Reconstruction of Deep Residual Network with Multi-Level Skip Connections 期刊论文 Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2019, 卷号: 41, 期号: 10, 页码: 2501-2508 作者: Zhao, Xiaoqiang; Song, Zhaoyang 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/11/14 Convolution Convolutional neural networks Eigenvalues and eigenfunctions Gradient methods Image processing Optical resolving power Stochastic models Stochastic systems Evaluation index Feature information High resolution image Image information Low resolution images Multilevels Stochastic gradient descent Super resolution reconstruction

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