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CIOMP OpenIR

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General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform 期刊论文
Infrared Physics & Technology, 2018, 卷号: 92, 页码: 68-77
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
浏览  |  Adobe PDF(2882Kb)  |  收藏  |  浏览/下载：431/162  |  提交时间：2019/09/17
Latent low-rank representation  Local non-subsampled shearlet transform  Salient features  Image fusion  visible-light  contourlet transform  feature-extraction  nsct domain  algorithm  pcnn  nsst  Instruments & Instrumentation  Optics  Physics  
Crossline-direction reconstruction of multi-component seismic data with shearlet sparsity constraint 期刊论文
Journal of Geophysics and Engineering, 2018, 卷号: 15, 期号: 5, 页码: 1929-1942
作者:  Liu, C. M.;  Wang, D. L.;  Sung, J.;  Wang, T. X.
浏览  |  Adobe PDF(5534Kb)  |  收藏  |  浏览/下载：353/116  |  提交时间：2019/09/17
shearlet transform  multi-component  wavefield reconstruction  crossline  interpolation  sparsity constraint  curvelet frames  interpolation  recovery  algorithm  pressure  domain  Geochemistry & Geophysics  
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.
浏览  |  Adobe PDF(4010Kb)  |  收藏  |  浏览/下载：639/165  |  提交时间：2019/09/17
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.
浏览  |  Adobe PDF(3910Kb)  |  收藏  |  浏览/下载：543/125  |  提交时间：2019/09/17
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  
A novel fusion framework of visible light and infrared images based on singular value decomposition and adaptive DUAL-PCNN in NSST domain 期刊论文
Infrared Physics & Technology, 2018, 卷号: 91, 页码: 153-163
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
浏览  |  Adobe PDF(3524Kb)  |  收藏  |  浏览/下载：401/130  |  提交时间：2019/09/17
NSST  ADS-PCNN  Image fusion  Singular value decomposition  Local  structure information operator  Linking strength  shearlet transform  feature-extraction  nsct domain  algorithm  scheme  Instruments & Instrumentation  Optics  Physics