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Multisensor image fusion algorithm using nonseparable wavelet frame transform

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A multisensor image fusion algorithm is described using 2-dimensional nonseparable wavelet frame (NWF) transform. The source multisensor images are first decomposed by the NWF transform. Then, the NWF transform coefficients of the source images are combined into the composite NWF transform coefficients. Inverse NWF transform is performed on the composite NWF transform coefficients in order to obtain the intermediate fused image. Finally, intensity adjustment is applied to the intermediate fused image in order to maintain the dynamic intensity range. Experiment results using real data show that the proposed algorithm works well in multisensor image fusion.

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A multisensor image fusion algorithm is described using 2-dimensional nonseparable wavelet frame (NWF) transform. The source multisensor images are first decomposed by the NWF transform. Then, the NWF transform coefficients of the source images are combined into the composite NWF transform coefficients. Inverse NWF transform is performed on the composite NWF transform coefficients in order to obtain the intermediate fused image. Finally, intensity adjustment is applied to the intermediate fused image in order to maintain the dynamic intensity range. Experiment results using real data show that the proposed algorithm works well in multisensor image fusion.

Keywords

Image fusionWavelet transformArtificial intelligenceFrame (networking)AlgorithmComputer visionMathematicsInverse

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