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Pseudo complementary measurement for traditional single-pixel cameras*
期刊论文
CHINESE PHYSICS B, 2020, 卷号: 29, 期号: 11, 页码: 8
作者:
Dong, Qian
;
Yao, Xu-Ri
;
Liu, Xin
;
Liu, Bing
;
Zhai, Guang-Jie
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/01/14
computational imaging
single-pixel camera
Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera
期刊论文
IEEE Photonics Journal, 2019, 卷号: 11, 期号: 1
作者:
Wei, Ziran
;
Zhang, Jianlin
;
Xu, Zhiyong
;
Liu, Yong
;
Huang, Yongmei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/05/06
Single pixel camera
super resolution
sparse representation
measurement matrix
image reconstruction
Improving the signal-to-noise ratio of complementary compressive imaging with a threshold
期刊论文
OPTICS COMMUNICATIONS, 2017, 卷号: 393, 页码: 118-122
作者:
Xue, Chang-Bin
;
Yao, Xu-Ri
;
Liu, Xue-Feng
;
Zhai, Guang-Jie
;
Zhao, Qing
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  |  
浏览/下载:53/0
  |  
提交时间:2017/06/20
Single-pixel camera
Complementary measurement
Threshold strategy
动磁式直线压缩机对制冷量与COP影响分析
期刊论文
2016, 2016
毕研强
;
徐向华
;
梁新刚
;
BI Yanqiang
;
XU Xianghua
;
LIANG Xingang
收藏
  |  
浏览/下载:5/0
Compressive video recovery using block match multi-frame motion estimation based on single pixel cameras
期刊论文
Sensors, 2016, 卷号: 16, 期号: 3, 页码: 1-18
作者:
Bi S(毕盛)
;
Zeng, Xiao
;
Tang, Xin
;
Qin SJ(秦书嘉)
;
Lai, King Wai Chiu
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2016/03/28
single pixel camera
motion estimation
video sampling
compressive sensing
Compressive video recovery using block match multi-frame motion estimation based on single pixel cameras
期刊论文
SENSORS, 2016, 卷号: 16, 期号: 3, 页码: 1-18
作者:
Bi S(毕盛)
;
Zeng, Xiao
;
Tang, Xin
;
Qin SJ(秦书嘉)
;
Lai, King Wai Chiu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2016/03/28
Single Pixel Camera
Motion Estimation
Video Sampling
Compressive Sensing
Optical imaging based on compressive sensing
会议论文
international symposium on photoelectronic detection and imaging 2011: advances in imaging detectors and applications, beijing, china, may 24, 2011 - may 26, 2014
LiShen
;
MaCai-Wen
;
XiaAi-Li
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  |  
浏览/下载:16/0
  |  
提交时间:2012/07/09
Sparsity
Data acquisition
Image Coding
Reconstruction algorithms
Single-pixel camera
Compressive sensing
Multi-channel high-speed TDICCD image data acquisition and storage system (EI CONFERENCE)
会议论文
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Zang J.
;
Li Y.
;
Xue X.
;
Guo Y.
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  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
For multi-channel high-speed image data of certain space remote sensing camera
this paper proposed a new image data acquisition and storage system. First of all
the system uses Field-Programmable Gate Array(FPGA) controlling synchronous dynamic random access memory(SDRAM) array to realize the cache of image data
then according to the received commands
sends certain channel's image data to the acquisition card to write the image data into SCSI hard disk and implements the final storage. A Time Delay Integral Charge Couple Device(TDICCD) image data acquisition and storage system with five channels is developed
pixel clock rate is up to 96MHz
total effective data rate is up to 2.88Gb/s
single channel storage depth is up to 7810 lines. The experimental results indicate that this system work stably
high effectively which can meet the requirement of acquisition and storage of multi-channel high-speed TDICCD image data. 2010 IEEE.
Data preprocessing of the exterior field of vision assembling photogrammetric camera (EI CONFERENCE)
会议论文
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
Liu J.
;
Li J.
;
Li G.
;
Wang Z.
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  |  
浏览/下载:32/0
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提交时间:2013/03/25
Transmit array photogrammetric camera can obtain image which is high geometric fidelity and high photogrammetric quality. However
the single chip array CCD image sensor camera can't meet the need of measuring precision and photogrammetric covering area. In order to obtain large numbers of information and extensive photogrammetric covering area
we must increase field of vision angle and improve photogrammetric covering area. And all these objects can be realized by exterior field of vision assembling photogrammetric camera. Two side work must be done before images
which obtained by exterior field of vision assembling photogrammetric camera
be used in photogrammetry. First
all assembling camera focal plane need be converted to a benchmark coordinate focal plane to realize camera digital assembling. Second
images must be re-sampled and processing. Because of coordinate conversion
two images from different assembling cameras can be established function relation
which a pixel of image from a camera is corresponding to a pixel of another image from different camera. But through this conversion
some pixels maybe extrusion together and other pixels separate on an image area. So interpolation direction finding(IDF) is used to obtain these pixels and realize image re-sampling. In this paper
the structure of exterior field of vision assembling photogrammetric camera is analyzed
and the coordinate conversion method of exterior field of vision assembling photogrammetric camera and image gray re-sampling method also can be discussed. All the works are based to data pretreatment of exterior vision assembling photogrammetric camera.
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