A Method for Fusion of Visible and Infrared Images Based on Sparse Representation

ZHANG Sheng-wei; LI Wei; ZHAO Xue-jing

doi:10.3969/j.issn.1671-637x.2017.06.010

[1] VARSHN R K.Multisensor data fusion［J］.Electronics and Communication Engineering Journal,1997,9(6):245-253.

[2] ZHENG S,SHI W Z,LIU J,et al.Multisource image fusion method using support value transform［J］.IEEE Transactions on Image Processing,2007,16(7):1831-1839.

[3] CVEJIC N,BULL D,CANAGARAJAH N.Improving fusion of surveillance images in sensor networks using independent component analysis［J］.IEEE Transactions on Consumer Electronics,2007,53(3):1029-1035.

[4] LI T J,WANG Y Y.Biological image fusion using a NSCT based variable-weight method［J］.Information Fusion, 2011,12(2):85-92.

[5] HONG G,ZHANG Y.Comparison and improvement of wavelet-based image fusion［J］.International Journal of Remote Sensing,2008,29(3):673-691.

[6] ZHANG Z, BLUM R S.A categorization of multiscale-decomposition-based image fusion schemes with a perfor-mance study for a digital camera application［J］.Procee-dings of IEEE,1999,87(8):1315-1326.

[8] MITIANOUDIS N,STATHAKI T.Optimal contrast correction for ICA-based fusion［J］.IEEE Sensors Journal, 2008,8(12):2016-2026.

[9] WEI Q,BIOUCAS-DIAS J,DOBIGEON N,et al.Hyperspectral and multispectral image fusion based on a sparse representation［J］.IEEE Transactions on Geoscience and Remote Sensing,2014,53(7):3658-3668.

[10] LIU Y, LIU S, WANG Z.A general framework for image fusion based on multi-scale transform and sparse representation［J］.Information Fusion,2015,24:147-164.

[11] BRUCKSTEIN A M,DONOHO D L,ELAD M.From sparse solutions of systems of equations to sparse modeling of signals and images［J］.SIAM Review,2009,51(1):34-81.

[12] GEMMEKE J F,CRANEN B.Noise reduction through compressed sensing［C］//Proceedings of Interspeech, Brisbane,Australia,2008:1785-1788.

[13] HAUPT J,CASTRO R,NOWAK R,et al.Compressive sampling for signal classification［C］//Proceedings of Fortieth Asilomar Conference on Signals,Systems and Computers,Pacific Grove,CA,2006:1430-1434.

[14] GEMMEKE J F,HAMME H V,CRANEN B,et al.Compressive sensing for missing data imputation in noise robust speech recognition［J］.IEEE Journal of Selected Topics in Signal Processing,2010,4(2):272-287.

[15] YANG J C,WRIGHT J,HUANG T S,et al.Image super-resolution via sparse representation［J］.IEEE Transactions on Image Processing,2010,19(11):2861-2873.

[16] WAN T,CANAGARAJAH N,ACHIM A.Compressive image fusion［C］//The 15th IEEE International Confe-rence on Image Processing,San Diego,CA,2008:1308-1311.

[17] YIN H T.Sparse representation with learned multiscale dictionary for image fusion［J］.Neurocomputing,2015, 148:600-610.

[18] YANG C,QIN Z.Gradient-based compressive image fusion［J］.Frontiers of Information Technology & Electronic Engineering,2015,16(3):227-237.

[19] YANG B,YANG C,HUANG G Y.Efficient image fusion with approximate sparse representation［J］.International Journal of Wavelets,Multiresolution and Information Processing,2016,14(4):165-188.

[20] LIU Y,CHEN X,WARD R K,et al.Image fusion with convolutional sparse representation［J］.IEEE Signal Processing Letters,2016,23(12):1882-1886.

[21] CANDES E,ROMBERG J,TAO T.Robust uncertainty principles:exact signal reconstruction from highly imcomplete frequency information［J］.IEEE Transactions on Information Theory,2006,52(2):489-509.

[22] CANDES E,TAO T.Near optimal signal recovery from random projections:universal encoding strategies［J］.IEEE Transactions on Information Theory,2006,52(12):5406-5425.

[23] AHARON M,ELAD M,BRUCKSTEIN A.K-SVD:an algorithm for designing of overcomplete dictionaries for sparse representations［J］.IEEE Transactions on Image Processing,2006,54(11):4311-4322.

[24] DING M,WEI L,WANG B F.Research on fusion method for infrared and visible images via compressive sen-sing［J］.Infrared Physics & Technology,2013,57(2):56-67.

CLP Journals