[1] PIELLA G. A general framework for multiresolution image fusion: From pixels to regions [J]. Information Fusion, 2003, 4(4):259-280.
[2] ZHANG Z, BLUM R S. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application [J]. IEEE, 1999, 87(8):1315-1326.
[3] BURT P J, KOLCZYNSKI R J. Enhanced image capture through fusion [C]. The 4th International Conference on Computer Vision, Berlin, Germany: 1993:173-182.
[4] GOOITZEN V D W. Technical overview of the sarnoff acadia II vision processor [J]. SPIE, 2010, 7710: 77100O-1-77100O-12.
[5] DAVID B, GOOITZEN V D W. Implementing real-time imaging systems using the sarnoff acadia II vision processor [J]. SPIE, 2010, 7710: 77100T-1-77100T-12.
[7] LI G X, WANG K, ZHANG L B. Computationally efficient algorithm of multiresolution image fusion with weighted average fusion rule [J]. Journal of Image and Graphics, 2005,10(12):1529-1536. (in Chinese)
[8] PU T, NI G. Contrast-based image fusion using the discrete wavelet transform [J]. Optical Engineering, 2000, 39(8): 2075-2082.
[9] LI H, MANJUNATH B S, MITRA S K. Multisensor image fusion using the wavelet transform [J]. Graphical Models and Image Processing, 1995,57(3):235-245.
[10] DAUBECHIES I. Ten Lectures on Wavelets [M]. Philadelphia, PA: SIAM, 1992.
[11] PIELLA G, HEIJMANS H. A new quality metric for image fusion [C]. Proceedings of IEEE International Conference on Image Processing, Barcelona, Spain,2003: III-173-III-176.
[12] CANGA E F, NIKOLOV S G, CANAGARAJAH C N, et al.. Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels [C]. The 8th International Conference on Information Fusion, Philadelphia, USA,2005:483-490.
[13] SMITH M I, HEATHER J P. Review of image fusion technology in 2005 [J]. SPIE, 2005, 5782: 29-45.