中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共9条，第1-9条

帮助

条数/页：排序方式：
	Dual feature enhanced video super-resolution network based on low-light scenarios 期刊论文 OAI收割 SIGNAL PROCESSING-IMAGE COMMUNICATION, 2023, 卷号: 115, 页码: 8 作者: Zhang, Huan; Cao, Yihao; Cai, Jianghui; Cai, Xingjuan; Zhang, Wensheng \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2023/11/17 Video super-resolution (VSR) Feature enhancement Information re-fusion Attention mechanism
	Neural texture transfer assisted video coding with adaptive up-sampling 期刊论文 OAI收割 SIGNAL PROCESSING-IMAGE COMMUNICATION, 2022, 卷号: 107, 页码: 10 作者: Yu, Li; Chang, Wenshuai; Quan, Weize; Xiao, Jimin; Yan, Dong-Ming \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2022/07/25 High-efficiency video coding (HEVC) Reference-based super-resolution Low bitrate Video compression Deep learning Machine learning
	Video super-resolution with inverse recurrent net and hybrid local fusion 期刊论文 OAI收割 NEUROCOMPUTING, 2022, 卷号: 489 作者: Li, Dingyi; Wang, Zengfu; Yang, Jian \| 收藏 \| 浏览/下载：64/0 \| 提交时间：2022/05/16 Video super-resolution Bidirectional recurrent convolutional neural network Sliding-window Local fusion
	Video Super-Resolution Using Non-Simultaneous Fully Recurrent Convolutional Network 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 3, 页码: 1342-1355 作者: Li, Dingyi; Liu, Yu; Wang, Zengfu \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2019/12/25 Video super-resolution non-simultaneous recurrent convolutional network residual connection model ensemble
	Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028 作者: Huang, Yan; Wang, Wei; Wang, Liang \| 收藏 \| 浏览/下载：49/0 \| 提交时间：2017/06/19 Deep Learning Recurrent Neural Networks 3d Convolution Video Super-resolution
	Video super-resolution based on spatial-temporal recurrent residual networks 期刊论文 OAI收割 COMPUTER VISION AND IMAGE UNDERSTANDING, 2018, 卷号: 168, 页码: 79-92 作者: Yang, Wenhan; Feng, Jiashi; Xie, Guosen; Liu, Jiaying; Guo, Zongming \| 收藏 \| 浏览/下载：56/0 \| 提交时间：2018/10/10 Spatial Residue Temporal Residue Video Super-resolution Inter-frame Motion Context Intra-frame Redundancy
	Simultaneously retargeting and super-resolution for stereoscopic video 期刊论文 OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 8, 页码: 11081-11095 作者: Kang, Kai; Cao, Yang; Wang, Zengfu 收藏 \| 浏览/下载：35/0 \| 提交时间：2018/07/27 Stereoscopic Video Retargeting Super-resolution
	Video super-resolution with 3D adaptive normalized convolution 期刊论文 OAI收割 neurocomputing, 2012, 卷号: 94, 页码: 140-151 作者: Zhang, Kaibing; Mu, Guangwu; Yuan, Yuan; Gao, Xinbo; Tao, Dacheng 收藏 \| 浏览/下载：63/0 \| 提交时间：2012/09/03 Normalized convolution (NC) Motion estimation Video super-resolution (SR)
	Super-resolution using adaptive blur parameter estimation (EI CONFERENCE) 会议论文 OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者: Wang H.; Wang H.; Wang H.; Wang H.; Liu G. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 Super-resolution is a term for a set of methods of increasing image or video resolution. All these methods are based on the same idea: using information from several images to create one upsized image. In most of the super-resolution algorithms the blur parameter of a LR-image model is always manually set as a default value. In this paper we propose a method to adaptively estimate the blur parameter. We get the initial image of iteration by fusing all low-resolution images. When it is used in MAP algorithm three iterations are enough to get a stable solution. It is greatly reduce the computational power compared with other MAP algorithms. Experiments to real image sequences show that it well preserved the image detail and the reconstructed image is clear. 2010 IEEE.