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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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西安光学精密机械研究... [4]
地理科学与资源研究所 [2]
长春光学精密机械与物... [2]
力学研究所 [1]
计算技术研究所 [1]
高能物理研究所 [1]
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OAI收割 [10]
iSwitch采集 [1]
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期刊论文 [7]
会议论文 [4]
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2024 [1]
2022 [1]
2021 [1]
2020 [4]
2019 [1]
2011 [1]
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Macroscopic Dynamic Response and Microscopic Damage Formation Analysis of Steel Plates with Different Explosive Distances
期刊论文
OAI收割
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2024, 页码: 18
作者:
Zhou, Zhengqing
;
Zhang, Peize
;
Zhang, Yulong
;
Yang, Guili
;
Liu, Yuzhe
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/05/14
close-range explosion
finite element model
low alloy steel plate
macroscopic dynamic response
microscopic damage
Research on the Key Technology of High Resolution Low-Light-Level Remote Sensing
会议论文
OAI收割
ELECTR NETWORK, 2022-12-18
作者:
Bai, Zhe
;
Ma, Yilong
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/06/19
Low-Light-Level
Remote sensing
ICCD
EMCCD
sCMOS
Dynamic range
Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning
期刊论文
OAI收割
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 4, 页码: 612-625
作者:
Yin, Peipei
;
Wang, Chenghua
;
Waris, Haroon
;
Liu, Weiqiang
;
Han, Yinhe
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/06/21
Adders
Dynamic range
Machine learning
Handwriting recognition
Power demand
Approximate computing
Heuristic algorithms
Approximate computing
logarithmic multiplier
operand truncation
low power
A Contribution Algorithm from LDRI to HDRI
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 7, 页码: 15
作者:
Luo, Junsong
;
Qiu, Shi
;
Jiang, Yizhang
;
Cheng, Keyang
;
Ye, Huping
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2021/07/09
Camera response curve
high dynamic range image
low dynamic range image
contribution
display
A Contribution Algorithm from LDRI to HDRI
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 7
作者:
Luo, Junsong
;
Qiu, Shi
;
Jiang, Yizhang
;
Cheng, Keyang
;
Ye, Huping
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/07/20
Camera response curve
high dynamic range image
low dynamic range image
contribution
display
A Contribution Algorithm from LDRI to HDRI
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 7, 页码: 15
作者:
Luo, Junsong
;
Qiu, Shi
;
Jiang, Yizhang
;
Cheng, Keyang
;
Ye, Huping
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/07/09
Camera response curve
high dynamic range image
low dynamic range image
contribution
display
New Algorithm of Response Curve for Fitting HDR Image
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 1
作者:
Qiu, Shi
;
Li, Xuemei
;
Huang, Yongdong
;
Li, Zhengzhou
;
Chen, Xun
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2020/04/13
High dynamic range
low dynamic range
camera response curve
mapping images
texture features
exposure time
Study on the technology of high-dynamic-range low-light-level remote-sensing camera
会议论文
OAI收割
Xiamen, China, 2019-10-18
作者:
Bai, Zhe
;
Ma, Yilong
;
Huang, Chao
;
Fan, Xuewu
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/06/18
low light level
remote sensing camera
ICCD
dynamic range
image intensifier
An asic design for lhaaso
期刊论文
iSwitch采集
Science china-physics mechanics & astronomy, 2011, 卷号: 54, 期号: 10, 页码: 1911-1914
作者:
Yan XiongBo
;
Wang Zheng
;
Chang JinFan
;
Wei Wei
;
Lu WeiGuo
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/04/23
Lhaaso
Analog asic
Pmt readout
Large dynamic range
Low noise
Good linearity
Method of auto multi-exposure for high dynamic range imaging (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
Piao Y.
;
Xu W.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2013/03/25
This paper proposes a method for calculating the multi-exposure times fast and accurately when the scene has a high dynamic range
minimizing the pictures needed to take and improving the dynamic range of the CCD system. The proposed method first measures the camera's response function referring [10]. After that the median value of the output picture is adjusted to be in the middle range of the system output by changing the exposure time. It can be inferred from the histogram of the current picture whether it's a high dynamic range scene by calculating the number of pixels under exposed and over exposed. Once again the under and over exposed pixels are adjusted to be in the middle according to the camera's response function. Finally different exposed pictures (2 or 3) are fused together by Gaussian function and the dynamic range is compressed by y correction. Experimental results on UNIQ-UM400 analog camera and a digital acquisition system show that the algorithm works well and solve the problem of low dynamic range of CCD camera. 2010 IEEE.