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Multisensor image fusion by using discrete multiwavelet transform

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1 Author(s)
Hai-Hui Wang ; Sch. of Comput. Sci. & Eng., Wuhan Inst. of Chem. Technol., China

We discuss the application of the discrete multiwavelet transform (DMWT) to multisensor image fusion processing. Multiwavelets are extension from scalar wavelets, and have several advantages in comparison with scalar wavelets. Multiwavelet analysis can offer a more precise image analysis than wavelet multiresolution analysis. A novel fusion algorithm is presented for multisensor images based on discrete multiwavelet transform that can be performed at pixel level. After the registering of source images, a pyramid for each source image can be obtained by applying decomposition with multiwavelet in each level. The multiwavelet decomposition coefficients of the input images are appropriately merged and a new fused image is obtained by reconstructing the fused multiwavelet coefficients. This image fusion algorithm may be used to combine images from multisensors to obtain a single composite with extended information content. The results of the experiment indicate that this image fusion algorithm can gain a more satisfactory fusion outcome.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:7 )

Date of Conference:

26-29 Aug. 2004