Acta Optica Sinica, Volume. 23, Issue 6, 671(2003)
Image Fusion Based on Wavelet Decomposition and Evolutionary Strategy
[1] [1] Genderen J L, van Pohl C. Image fusion: Issues, techniques and applications. Intelligent Image Fusion. Proc. EARSeL Workshop, Strasbourg, France, 1994. 18~26
[2] [2] Hall D L. Mathematical Techniques in Multisensor Data Fusion. Boston: Artech House, 1992. 20~59
[3] [3] Burt P J, Adelson E H. The Laplacian pyramid as a compact image code. IEEE Trans., 1983, COM-31(1):532~540
[4] [4] Burt P T, Lolczynski P J. Enhanced image capture through fusion.In: Proc. 4th Internat. Conf. on Computer Vision, Berlin, Germany, 1993. 173~182
[5] [5] Toet A. Hierarchical image fusion. Machine Vision and Application, 1990, 3(2):1~11
[7] [7] David A Y. Image merging and data fusion by means of the discrete two-dimensional wavelet transform. J. Opt. Soc. Am. (A), 1995, 12(9):1834~1841
[8] [8] Zhang Z, Blum R S. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application. Proc. IEEE, 1999, 87(8):1315~1326
[9] [9] Mallat S G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Analysis and Machina Intelligence, 1989, 11(7):674~693
[10] [10] Fogel D B, Fogel L J. An introduction to simulated evolutionary optimization. IEEE Trans. on NN, 1994, 5(1):3~14
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese]. Image Fusion Based on Wavelet Decomposition and Evolutionary Strategy[J]. Acta Optica Sinica, 2003, 23(6): 671