上海交通大学学报(英文版) ›› 2012, Vol. 17 ›› Issue (1): 8-012.doi: 10.1007/s12204-012-1223-y

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Image Fusion Scheme Based on Nonsubsampled Contourlet and Block-Based Cosine Transform

SONG Hao-hao (宋好好),      LU Zhen (陆   臻)   

  1. (Quality Supervision and Testing Center of Security Products for Computer Information System,
    Ministry of Public Security, Shanghai 200031, China)
  • 收稿日期:2009-09-18 出版日期:2012-02-29 发布日期:2012-03-21
  • 通讯作者: SONG Hao-hao (宋好好) E-mail:haohaosong@gmail.com

Image Fusion Scheme Based on Nonsubsampled Contourlet and Block-Based Cosine Transform

SONG Hao-hao (宋好好),      LU Zhen (陆   臻)   

  1. (Quality Supervision and Testing Center of Security Products for Computer Information System,
    Ministry of Public Security, Shanghai 200031, China)
  • Received:2009-09-18 Online:2012-02-29 Published:2012-03-21
  • Contact: SONG Hao-hao (宋好好) E-mail:haohaosong@gmail.com

摘要: 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.

关键词: nonsubsampled contourlet, cosine, wavelet, satellite image, image fusion

Abstract: 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.

Key words: image fusion, nonsubsampled contourlet, cosine, wavelet, satellite image

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