ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC

A fusion method for TH-1 images based on fast discrete curvelet transforms

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2013.08.006
  • Received Date: 24 February 2013
  • Rev Recd Date: 26 April 2013
  • Publish Date: 31 August 2013
  • As some TH-1 images have the problem of big noise, a fusion method for TH-1 images based on FDCT was proposed. During the fusion processing, the sub-band of low frequency was processed by the weighted average algorithm; the sub-band of middle frequency, which has lower noise, was processed by the biggest region edge detection algorithm; the sub-band of the highest frequency, which has more intensive noise, was processed by the maximum substitution algorithm. The proposed method clearly outperforms traditional fusion methods in common image evaluation indicators and noise reduction evaluation indicators.
    As some TH-1 images have the problem of big noise, a fusion method for TH-1 images based on FDCT was proposed. During the fusion processing, the sub-band of low frequency was processed by the weighted average algorithm; the sub-band of middle frequency, which has lower noise, was processed by the biggest region edge detection algorithm; the sub-band of the highest frequency, which has more intensive noise, was processed by the maximum substitution algorithm. The proposed method clearly outperforms traditional fusion methods in common image evaluation indicators and noise reduction evaluation indicators.
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