[1] F. A. Al-Wassai, N. V. Kalyankar, A. A. Al-Zuky. Arithmetic and frequency filtering methods of pixel-based image fusion techniques[J]. [2011-01-19] http://arxiv.org/abs/1107.3348
[2] S. G. Mallat. A theory for multi-resolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7): 674~693
[3] Cai Yixiang, Chen Wenjing, Li Sikun et al.. Application of two-dimensional continuous wavelet transform in demodulating fringe pattern with two frequency components[J]. Laser & Optoelectronics Progress, 2010, 47(7): 071001
[4] Gao Bin, He Tongdi. Self-adpative multi-sensor image fusion using curvelet transform[J]. Laser & Optoelectronics Progress, 2010, 47(5): 051003
[5] Niu Yanmin, Wang Xuchu. Statistical modeling of nonsubsampled Contourlet transform coefficients and its application to image denoising[J]. Laser & Optoelectronics Progress, 2010, 47(5): 051005
[6] A. Tote. Image fusion by ratio of low-pass pyramid[J]. Patter Recognition Letter, 1989, 9(4): 245~253
[8] Yang Fengbao, Ni Guoqiang, Zhang Lei. Images fusion of subdivision band mwir based on wavelet packet transform [J]. J. Infrared and Millimeter Waves, 2008, 27(4): 275~279
[9] Z. Pawlak. Rough set theory and its application to data analysis[J]. Cybernetics and Systems, 1998, 29(9): 26~89
[10] Pan Li, Zhang Zhuxun, Zhang Jianqing. Application of rough sets in image feature selection [J]. J. Data Acquisition & Processing, 2002, 17(1): 23~31
[11] R. C. Gonzalez, R. E. Woods. Digital Image Processing Second Edition [M]. Ruan Qiuqi, Ruan Zhiyu, Trans. Beijing: Publishing House of Electronics Industry, 2005
[12] Jing Zhongliang, Xiao Gang, Li Zhenhua. Image Fusion:Theory and Application[M]. Beijing: Higher Education Press, 2007
[13] Fan Changxin. Principle of Communication [M]. Beijing: National Defense Industry Press, 2001
[14] Zhao Wenzhe, Qin Shiyin. Image quality assessment and some solving approaches to current issues[J]. Laser & Optoelectronics Progress, 2010, 47(4): 041002