Wavelet multi resolution weight correlation image fusion method

Research output: Contribution to journalArticlepeer-review

Abstract

An image fusion method which based on wavelet multi resolution of weight correlation was introduced for the fusion of multispectral image and panchromatic image. On basis of wavelet decomposition for original image, the method fused the high and low weights image with different fusing rules, and the final fused image was obtained by taking inverse wavelet transform. The low frequencies were fused by weighted calculating with the coefficient of local correlation, and a certain constraints for the high frequencies were defined, so that part of the strong correlation between strengthened, and the weak part preserved. In the end, the experiment indicates its advantage to preserve spectra information and improve spatial resolution by comparing the correlative coefficient and the spectral distortion with several typical image fusion methods. The effect of fusion for different threshold value of T was also analyzed by experiment, so that appropriate value can be set to adapt different scene.

Original languageEnglish
Pages (from-to)847-852
Number of pages6
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume39
Issue number6
StatePublished - Jun 2013

Keywords

  • Correlation constraint
  • High and low weight
  • Space frequency
  • Spectrum image fusion
  • Wavelet transform

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