A Contourlet Transform Based Fusion Algorithm for Nighttime Driving Image

  • Shengpeng Liu
  • Min Wang
  • Yong Fang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)


A novel contourlet transform based fusion algorithm for nighttime driving image is proposed in this paper. Because of advantages of the contourlet transform in dealing with the two or higher dimensions singularity or the image salient features, such as line, curve, edge and etc., each of the accurately registered images is decomposed into a low frequency subband image and a sets of high frequency subband images with various multiscale, multidirectional local salient features. By using different fusion rules for the low frequency subband image and high frequency subband images, respectively, the fused coefficients are obtained. Then, the fused image is generated by the inverse contourlet transform. The simulation results indicate that the proposed method outperforms the traditional wavelet packet transform based image fusion method.


Image Fusion Wavelet Packet Fusion Rule Fusion Algorithm Wavelet Packet Transform 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shengpeng Liu
    • 1
  • Min Wang
    • 1
  • Yong Fang
    • 1
  1. 1.School of Communication and Information EngineeringShanghai UniversityShanghaiChina

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