Fusion method for infrared and visible images based on improved quantum theory model
暂无分享,去创建一个
Yang Lei | Weiwei Kong | Minmin Ren | W. Kong | Yang Lei | Minmin Ren
[1] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[2] Miss A.O. Penney. (b) , 1974, The New Yale Book of Quotations.
[3] A. ADoefaa,et al. ? ? ? ? f ? ? ? ? ? , 2003 .
[4] Henk J. A. M. Heijmans,et al. A new quality metric for image fusion , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[5] Zheng Liu,et al. PERFORMANCE ASSESSMENT OF COMBINATIVE PIXEL-LEVEL IMAGE FUSION BASED ON AN ABSOLUTE FEATURE MEASUREMENT , 2007 .
[6] Yufeng Zheng,et al. A new metric based on extended spatial frequency and its application to DWT based fusion algorithms , 2007, Inf. Fusion.
[7] M. Hossny,et al. Comments on 'Information measure for performance of image fusion' , 2008 .
[8] Xie Ke-fu. Morphology Filtering Inspired by Quantum Collapsing , 2009 .
[9] Fang Liu,et al. Multicontourlet-Based Adaptive Fusion of Infrared and Visible Remote Sensing Images , 2010, IEEE Geoscience and Remote Sensing Letters.
[10] W. Kong,et al. Fusion technique for grey-scale visible light and infrared images based on non-subsampled contourlet transform and intensity-hue-saturation transform , 2011 .
[11] Li Chen,et al. Multi-focus image fusion using a bilateral gradient-based sharpness criterion , 2011 .
[12] Ilkay Ulusoy,et al. New method for the fusion of complementary information from infrared and visual images for object detection , 2011, IET Image Processing.
[13] Mei Yang,et al. A novel algorithm of image fusion using shearlets , 2011 .
[14] X. Li,et al. Efficient fusion for infrared and visible images based on compressive sensing principle , 2011 .
[15] Jing Tian,et al. Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure , 2012, Signal Process..
[16] Zheng Liu,et al. Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Yun Yang,et al. Linear Feature Separation From Topographic Maps Using Energy Density and the Shear Transform , 2013, IEEE Transactions on Image Processing.
[18] Pengfei Xu,et al. A novel algorithm of remote sensing image fusion based on Shearlets and PCNN , 2013, Neurocomputing.
[19] K Eisler,et al. Fusion of visual and infrared thermography images for advanced assessment in non-destructive testing. , 2013, The Review of scientific instruments.
[20] Lijiang Chen,et al. Quantum digital image processing algorithms based on quantum measurement , 2013 .
[21] Jianping Liu,et al. Technique for image fusion based on nonsubsampled shearlet transform and improved pulse-coupled neural network , 2013 .
[22] Yan Wang,et al. Image fusion based on nonsubsampled contourlet transform for infrared and visible light image , 2013 .
[23] Shih-Sian Cheng,et al. A novel algorithm of remote sensing image fusion based on Shearlets and PCNN , 2013 .
[24] Sarat Kumar Sahoo,et al. Pulse coupled neural networks and its applications , 2014, Expert Syst. Appl..
[25] Jianping Fan,et al. Fusion method for infrared and visible images by using non-negative sparse representation , 2014 .
[26] Yide Ma,et al. Spiking cortical model for multifocus image fusion , 2014, Neurocomputing.
[27] Baohua Zhang,et al. The infrared and visible image fusion algorithm based on target separation and sparse representation , 2014 .
[28] W. Kong,et al. Adaptive fusion method of visible light and infrared images based on non-subsampled shearlet transform and fast non-negative matrix factorization , 2014 .
[29] Qiang Fan,et al. Fusion method of infrared and visible images based on neighborhood characteristic and regionalization in NSCT domain , 2014 .
[30] Zhaodong Liu,et al. A novel image fusion approach based on compressive sensing , 2015 .
[31] Chunhui Zhao,et al. A fast fusion scheme for infrared and visible light images in NSCT domain , 2015 .
[32] Zhaodong Liu,et al. A novel fusion scheme for visible and infrared images based on compressive sensing , 2015 .
[33] Maoguo Gong,et al. RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners , 2016, IEEE Transactions on Neural Networks and Learning Systems.