Earticle

초록

영어

To suppress the Pseudo-Gibbs phenomena caused by the Contourlet, the Nonsubsampled Pyramids Filter Banks and the Nonsubsampled Directional Filter Banks are combined to construct the nonsubsampled Contourlet transform (NSCT). Hence, The NSCT not only possess the main features of multi-scale, multi-directional and time-frequency localization, but also offer the property of the shift-invariant which is vital to image processing. Firstly, multi-scale decomposition is performed on source images using NSCT to get high-frequency and low-frequency images. Secondly, the Novel Sum-Modified-Laplacian and Local Neighbour Sum of Laplacian are respectively used to select the lowpass coefficient and highpass coefficients to combine fused image. Finally, the inverse nonsubsampled contourlet transform is applied to obtain fused image. Experimental results show the proposed approach outperform the traditional discrete wavelet transform-based and the Contourlet-based image fusion methods.

목차

Abstract
 1. Introduction
 2. NSCT
 3. Fusion Rule
  3.1. Low Frequency Coefficients Fusion Rule
  3.2. High Frequency Coefficients Fusion Rule
 4. Proposed Fusion Algorithm
 5. Experiments
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Peng Geng [ School of Information Science and Technology, Shijiazhuang Tiedao University ]
• Zhiwei Gao [ School of Information Science and Technology, Shijiazhuang Tiedao University ]
• Changxia Hu [ School of Information Science and Technology, Shijiazhuang Tiedao University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605