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山东大学 [2]
大连理工大学 [1]
长春光学精密机械与物... [1]
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会议论文 [3]
期刊论文 [1]
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2018 [3]
2012 [1]
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A real-time infrared image enhancement algorithm based on improved CLAHE
会议论文
2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2018-01-01
作者:
Liang, Xining
;
Tian, Yu
;
Yan, Shiyang
;
Wang, Ke
;
Guo, Chenlong
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Contrast Limit Adaptive Histogram Equalization
Image gradient
Bi-linear interpolation
Infrared image enhancement system
Insect Sound Recognition Based on Convolutional Neural Network
期刊论文
2018 3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018, 2018, 页码: 855-859
作者:
Dong, Xue
;
Yan, Ning
;
Wei, Ying
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浏览/下载:4/0
  |  
提交时间:2019/12/11
Characteristic extraction
Contrast-limit adaptive histogram equalization
Deep learning
Enhanced spectrogram
Insect Sound Recognition Based on Convolutional Neural Network
会议论文
3rd IEEE International Conference on Image, Vision and Computing (ICIVC), JUN 27-29, 2018
作者:
Dong, Xue
;
Yan, Ning
;
Wei, Ying
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/31
characteristic extraction
contrast-limit adaptive histogram
equalization
enhanced spectrogram
deep learning
An embedded infrared image enhancement system based on DSP and FPGA (EI CONFERENCE)
会议论文
2012 International Conference on Manufacturing Engineering and Process, ICMEP 2012, April 21, 2012 - April 22, 2012, Kunming, China
Liu D.
;
Zhang T.
;
Yin C.
;
Ji X.
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浏览/下载:33/0
  |  
提交时间:2013/03/25
According to the disadvantage of the large noises of histogram equalization algorithm
a new adaptive image enhancement algorithm is presented. First
the statistical histogram of the infrared image is done. Then the threshold of plateaus Equalization is calculated and the statistical histogram is modified. Finally the bright values of the pixels of the image are changed. An embedded high speed image enhancement processing system on high performance DSP TMS320DM642 and FPGA was designed. Experimental results with real images shown that the system can improve the contrast of the infrared image
limit the noises of the enhancement image
and effectively enhance the infrared image
the running time of the program is shorter
so it can meet the requirements of real-time in the project. (2012) Trans Tech Publications.
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