机构

• 自动化研究所 [3]
• 西安光学精密机械研究... [2]
• 长春光学精密机械与物... [1]
• 光电技术研究所 [1]
• 沈阳自动化研究所 [1]
• 合肥物质科学研究院 [1]
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采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [8]
• 会议论文 [1]

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• 2023 [2]
• 2021 [1]
• 2020 [1]
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• computer s... [1]
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筛选

浏览/检索结果: 共9条，第1-9条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Patch Loss: A generic multi-scale perceptual loss for single image super-resolution 期刊论文  OAI收割 Pattern Recognition, 2023, 卷号: 139, 页码: 109510 作者:  An T(安泰);  Mao BJ(毛彬杰);  Xue B(薛斌);  Huo CL(霍春雷);  Xiang SM(向世明)   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/01/17 Single-image super-resolution  Multi-scale loss functions  Image visual perception  Perceptual metrics   Online tool wear monitoring by super-resolution based machine vision 期刊论文  OAI收割 COMPUTERS IN INDUSTRY, 2023, 卷号: 144 作者:  Zhu, Kunpeng;  Guo, Hao;  Li, Si;  Lin, Xin   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/12/22 Single image super -resolution  Sparse decomposition  Micro machining  Tool monitoring   Adversarial Multi-Path Residual Network for Image Super-Resolution 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6648-6658 作者:  Wang QQ(王倩倩);  Gao QX(高全学);  Wu, Linlu;  Sun G(孙干);  Jiao, Licheng   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/08/12 Feature extraction  Residual neural networks  Superresolution  Generative adversarial networks  Image reconstruction  Generators  Training  Single image super-resolution (SISR)  residual learning  deep convolutional neural network   Single-image super-resolution via joint statistic models-guided deep auto-encoder network 期刊论文  OAI收割 NEURAL COMPUTING & 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：30/0  |  提交时间：2020/06/22 Non-local similarity  Split Bergman iteration  Steering kernel regression  Single-image super-resolution   Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera 期刊论文  OAI收割 IEEE Photonics Journal, 2019, 卷号: 11, 期号: 1 作者:  Wei, Ziran;  Zhang, Jianlin;  Xu, Zhiyong   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/05/06 Single pixel camera  super resolution  sparse representation  measurement matrix  image reconstruction   Coarse-to-Fine Learning for Single-Image Super-Resolution 期刊论文  OAI收割 ieee transactions on neural networks and learning systems, 2017, 卷号: 28, 期号: 5, 页码: 1109-1122 作者:  Zhang, Kaibing;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong;  Li, Jie 收藏  |  浏览/下载：58/0  |  提交时间：2017/06/14 Correlative neighbor regression (CNR)  nonlocal means  regularization term  self-similarity  single-image super-resolution (SR)   Learning adaptive interpolation kernels for fast single-image super resolution 期刊论文  OAI收割 SIGNAL IMAGE AND VIDEO PROCESSING, 2014, 卷号: 8, 期号: 6, 页码: 1077-1086 作者:  Hu, Xiyuan;  Peng, Silong;  Hwang, Wen-Liang 收藏  |  浏览/下载：62/0  |  提交时间：2015/08/12 Single-image super resolution  Dual dictionary learning  Sparse representation  Learning multiple interpolation kernels   Image Super-Resolution via Double Sparsity Regularized Manifold Learning 期刊论文  OAI收割 ieee transactions on circuits and systems for video technology, 2013, 卷号: 23, 期号: 12, 页码: 2022-2033 作者:  Lu, Xiaoqiang;  Yuan, Yuan;  Yan, Pingkun 收藏  |  浏览/下载：28/0  |  提交时间：2015/06/09 Double sparsity  manifold learning  single-image super-resolution (SR)  sparse coding   Study on supper resolution reconstruction based on staggered arrays (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China Yuan Z.; Xing Z.; Guang J. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 The image resolution can be improved without increasing the requirement to optical imaging systems' parameters and decreasing the size of CCD pixel by staggered arrays technology  which arranges several CCDs in a specific mode. In this paper  an image super resolution method of improving the image resolution for 1.5 times both in two directions by 4 linear arrays staggered based on this technology is presented  which avoids the large computation in a single time by use of circulation method. This method is proved effective by the digital simulation  and a simulated experiment platform is constructed to test its feasibility. The image resolution is improved for 1.42 times of the unreconstructed image according to the imaging experiment of resolution chart  which is closed to 1.5 times in ideal case. And also  the reconstructed and unreconstructed images are evaluated by the image information entropy  which proves that the reconstructed image contains more information. 2011 IEEE.