机构

• 长春光学精密机械与... [16]
• 自动化研究所 [4]
• 沈阳自动化研究所 [2]
• 地质与地球物理研究所 [1]
• 武汉岩土力学研究所 [1]

采集方式

• OAI收割 [24]

内容类型

• 会议论文 [16]
• 期刊论文 [6]
• 学位论文 [2]

发表日期

• 2023 [1]
• 2022 [2]
• 2021 [1]
• 2019 [1]
• 2017 [1]
• 2012 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共24条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Seismic Image Dip Estimation by Multiscale Principal Component Analysis 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 10 作者:  Wu, Shaojiang;  Wang, Yibo   |  收藏  |  浏览/下载：50/0  |  提交时间：2023/03/29 Estimation  Principal component analysis  Signal to noise ratio  Image resolution  Tensors  Low-pass filters  Mathematical models  Approximation algorithms  estimation  inverse problems  mathematical model  reliability   Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution 期刊论文  OAI收割 Frontiers in Neuroinformatics, 2022, 卷号: 16, 页码: 1-12 作者:  Jia HD(贾慧迪);  Chen XA(陈希爱);  Han Z(韩志);  Liu BC(刘柏辰);  Wen, Tianhui   |  收藏  |  浏览/下载：50/0  |  提交时间：2022/05/29 3D super-resolution  3D total variation  low rank tensor decomposition  medical image  nonlocal self-similarity   基于改进的Vision Transformer的低分辨率钻孔图像拼接方法 期刊论文  OAI收割 武汉大学学报. 工学版, 2022, 卷号: 55, 期号: 12, 页码: 1293 作者:  陈佳;  傅振鹏;  周辉;  范波;  高阳   |  收藏  |  浏览/下载：29/0  |  提交时间：2025/06/27 borehole image stitching  low resolution  Vision Transformer  affine transform  钻孔图像拼接  低分辨率  Vision Transformer  仿射变换   From Point to Region: Accurate and Efficient Hierarchical Small Object Detection in Low-Resolution Remote Sensing Images 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 13, 页码: 16 作者:  Wu, Jingqian;  Xu, Shibiao   |  收藏  |  浏览/下载：53/0  |  提交时间：2021/08/15 small object detection  key-point prediction  image enhancement  low resolution   Deep Learning Based Single Image Super-resolution: A Survey 期刊论文  OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426 作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/02/22 Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.   Hyperspectral image super-resolution via nonlocal low-rank tensor approximation and total variation regularization 期刊论文  OAI收割 Remote Sensing, 2017, 卷号: 9, 期号: 12, 页码: 1-16 作者:  He, Shiying;  Han Z(韩志);  Chen XA(陈希爱);  Wang Y(王尧)   |  收藏  |  浏览/下载：50/0  |  提交时间：2018/01/06 hyperspectral image super-resolution  low-rank tensor approximation  nonlocal self-similarity  folded-concave regularization  total variation  ADMM   A new low-bandwidth and wireless transmission scheme for CCd image (EI CONFERENCE) 会议论文  OAI收割 2012 International Symposium on Photonics and Optoelectronics, SOPO 2012, May 21, 2012 - May 23, 2012, Shanghai, China 作者:  Zhang Y. 收藏  |  浏览/下载：64/0  |  提交时间：2013/03/25 The CCD (Charge-coupled Device) image sensor with its high resolution is capable of providing high definition image. However  transmission requires high bandwidth  which makes it very difficult to process and transmit in a long distance. The purpose of this paper is to propose a new method to process and transmit CCD image  which can guarantee a low-bandwidth and long-distance data transmission. The innovation is that the transmission content of CCD image data can be flexibly selected and compressed firstly  which will reduce the transmission data. Then it is processed on the base of communication protocol so that it can be fit for wireless transmission. At last  it is transformed into wireless signal and transmitted using 3G technology. As a result  the paper presents a wireless transmission scheme with the rate of 1.5Mbps for CCD image. 2012 IEEE.   低分辨率、异质人脸识别算法与嵌入式人脸识别系统研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 作者:  周长涛 收藏  |  浏览/下载：74/0  |  提交时间：2015/09/02 人脸识别  低分辨率  异质图像匹配  嵌入式系统  face recognition  low resolution  heterogeneous image matching  embedded system   人脸识别关键问题和算法研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010 作者:  雷震 收藏  |  浏览/下载：197/0  |  提交时间：2015/09/02 人脸识别  光照变化  低分辨率  异质图像匹配  三维形状恢复  face recognition  illumination variation  low resolution  heterogeneous image matching  3D shape recovery   Image compression based on contourlet and no lists SPIHT (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者:  Zhang S. 收藏  |  浏览/下载：72/0  |  提交时间：2013/03/25 The volume of raw image data captured by the high resolution camera is extremely huge. Thus the efficient image compression method should be used to decrease the bit rate. The image compression method based on wavelet is used more widely nowadays. However  two dimensional wavelet is only the tensor product of the one dimensional wavelet whose support region of basis function is extended from interval to square. Contourlet is an image multiscale geometric analysis tool  which could represent image sparsely and has strong capability of nonlinear approximation. The basis function of contourlet is multidirectional and anisotropic. Nevertheless  contourlet is redundant. So the non-redundant Wavelet Based Contourlet Transform (WBCT) is used in this paper. The SPIHT algorithm is very efficient way to coding the significant coefficients. And the improved no lists SPIHT is more easy to implemented by hardware. Image compression method based on the combination of both wavelet based contourlet transform and no lists SPIHT coding is proposed in the paper. Experiment shows that compared to wavelet based scheme the contourlet scheme can reserve the texture of the image. For barbara test image when coding at low bit rate the PSNR can improve about 0.2dB. 2010 IEEE.