Image fusion scheme based on nonsubsampled contourlet and block-based cosine transform |
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Authors: | Hao-hao Song Zhen Lu |
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Institution: | Quality Supervision and Testing Center of Security Products for Computer Information System, Ministry of Public Security, Shanghai 200031, China |
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Abstract: | A kind of nonsubsampled contourlet and block-based cosine transform (NSCBCT) is developed, and its application in image fusion
is studied in this paper. The construction of filtering banks is based on the nonsubsampled contourlet transform (NSCT) and
block-based discrete cosine transform (B-DCT). We combine NSCT and B-DCT to design filters that lead to NSCBCT with better
singularity representation than either of them in isolation. A design framework based on the hybrid approach is proposed,
which allows for the fast implementation based on NSCT and B-DCT respectively. In addition, a new image fusion scheme based
on NSCBCT for multispectral and panchromatic satellite images is proposed. Firstly, because it adopts NSCT, the fused satellite
images have higher spatial resolution than those based on wavelets. Secondly, based on the localized high frequency information
provided by B-DCT, the proposed fusion scheme can reduce the spectral distortion of the fused image further. Experimental
results show that the proposed fusion method is able to increase the spatial resolution and reduce the spectral distortion
of the fused image at the same time. |
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