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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
收藏  |  浏览/下载:5/0  |  提交时间:2019/12/02
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
收藏  |  浏览/下载:4/0  |  提交时间:2019/12/11
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
收藏  |  浏览/下载:2/0  |  提交时间:2019/12/31
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.
收藏  |  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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