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.
SONG Hao-hao (宋好好), LU Zhen (陆 臻)
. Image Fusion Scheme Based on Nonsubsampled Contourlet and Block-Based Cosine Transform[J]. Journal of Shanghai Jiaotong University(Science), 2012
, 17(1)
: 8
-012
.
DOI: 10.1007/s12204-012-1223-y
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