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CIOMP OpenIR

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Multi-scale unsupervised network for infrared and visible image fusion based on joint attention mechanism 期刊论文
Infrared Physics & Technology, 2022, 卷号: 125, 页码: 12
作者:  D. D. Xu;  N. Zhang;  Y. X. Zhang;  Z. Li;  Z. K. Zhao and Y. C. Wang
浏览  |  Adobe PDF(13604Kb)  |  收藏  |  浏览/下载：80/40  |  提交时间：2023/06/14
Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network 期刊论文
Applied Sciences-Basel, 2020, 卷号: 10, 期号: 2, 页码: 22
作者:  D. D. Xu,Y. C. Wang,S. Y. Xu,K. G. Zhu,N. Zhang and X. Zhang
浏览  |  Adobe PDF(9240Kb)  |  收藏  |  浏览/下载：95/25  |  提交时间：2021/07/06
Infrared and low-light-level image fusion based on 2-energy minimization and mixed-1-gradient regularization 期刊论文
Infrared Physics and Technology, 2019, 卷号: 96, 页码: 163-173
作者:  B.Cheng;  L.Jin;  G.Li
浏览  |  Adobe PDF(1720Kb)  |  收藏  |  浏览/下载：156/45  |  提交时间：2020/08/24
Image fusion,Defects,Image enhancement,Image reconstruction,Infrared imaging  
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：318/112  |  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  
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：368/122  |  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：319/108  |  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：320/108  |  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  
Airborne Infrared and Visible Image Fusion Combined with Region Segmentation 期刊论文
Sensors, 2017, 卷号: 17, 期号: 5
作者:  Zuo, Y. J.;  J. H. Liu;  G. B. Bai;  X. Wang and M. C. Sun
浏览  |  Adobe PDF(4214Kb)  |  收藏  |  浏览/下载：662/264  |  提交时间：2018/06/13