CIOMP OpenIR

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Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength 期刊论文
Neurocomputing, 2018, 卷号: 310, 页码: 135-147
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
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LNSST  ATD-PCNN  Image fusion  Singular value decomposition  Auxiliary  linking strength  Triple-linking strength  sparse representation  shearlet transform  multi-focus  feature-extraction  neural-network  domain  algorithm  decomposition  Computer Science  
Adaptive fusion framework of infrared and visual image using saliency detection and improved dual-channel PCNN in the LNSST domain 期刊论文
Infrared Physics & Technology, 2018, 卷号: 92, 页码: 30-43
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
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LNSST  Image fusion  Improved dual-channel PCNN  Frequency-tuned  saliency detection  sparse representation  contourlet transform  shearlet transform  feature-extraction  algorithm  decomposition  Instruments & Instrumentation  Optics  Physics  
Super resolution reconstruction of infrared images based on classified dictionary learning 期刊论文
Infrared Physics & Technology, 2018, 卷号: 90, 页码: 146-155
作者:  Liu, F.;  Han, P. L.;  Wang, Y.;  Li, X.;  Bai, L.;  Shao, X. P.
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Infrared imaging  Super-resolution  Dictionary learning  Classified  dictionaries  orthogonal matching pursuit  sparse representation  clustering-algorithm  superresolution  nanoscopy  filter  color  Instruments & Instrumentation  Optics  Physics  
Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition 期刊论文
Mathematical Problems in Engineering, 2018, 卷号: 0, 页码: 11
作者:  Jia, H. Q.;  Wei, Z. H.;  He, X.;  Lv, Y.;  He, D. L.;  Li, M. Y.
浏览  |  Adobe PDF(4675Kb)  |  收藏  |  浏览/下载:378/129  |  提交时间:2019/09/17
salient region detection  sparse representation  scene classification  robust  Engineering  Mathematics