A novel optimization-based method for designing wavelet filter banks in image fusion is proposed. The filter bank design is formulated as a nonlinear optimization problem. The objective function of the optimization problem consists of both the performance metrics of the image fusion, such as the root mean square error (RMSE), and those of individual filters. The optimization problem is solved using simulating annealing.
© 2007 Chinese Optics Letters
(070.6110) Fourier optics and signal processing : Spatial filtering
(100.2960) Image processing : Image analysis
(100.7410) Image processing : Wavelets
(110.3000) Imaging systems : Image quality assessment
Gang Liu, Xueqin Lv, and Guohong Huang, "Optimal wavelet filter bank design for image fusion," Chin. Opt. Lett. 5, 636-638 (2007)