A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fractal functions and wavelet expansions based on several scaling functions
Journal of Approximation Theory
A study of orthonormal multi-wavelets
Applied Numerical Mathematics - Special issue on selected keynote papers presented at 14th IMACS World Congress, Atlanta, NJ, July 1994
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Multiwavelet bases with extra approximation properties
IEEE Transactions on Signal Processing
The application of multiwavelet filterbanks to image processing
IEEE Transactions on Image Processing
Multiwavelet prefilters. II. Optimal orthogonal prefilters
IEEE Transactions on Image Processing
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Based on multiwavelet transform and the clonal selection theory in the natural immune system, a novel pixel-level multifocus image fusion optimization algorithm is presented in this paper. Source images are first decomposed into low-frequency coarse information and high-frequency detail information via discrete multiwavelet transform. The high-frequency detail information adopts the absolute-values maximum selection. And then the immune clonal selection is introduced to optimize the weights of fusing the low-frequency four coarse subbands adaptively and separately. Image fusion performances of Daubechies-4 (Db4) scalar wavelet, Geronimo, Hardin and Massopust (GHM) multiwavelets and Chui and Lian (CL) multiwavelets are compared quantitatively, which have the same approximation order. Experimental results show that the proposed image fusion algorithm have clear edges, abundance details and few artificial artifacts.