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Multifocus Image Fusion Based On Uniform Discrete Curvelet Transform
5136
全文录用
福珍 朱 / 黑龙江大学
A novel multi-focus image fusion method based on Uniform Discrete Curvelet Transform (UDCT) is proposed to overcome conventional muti-scale analysis image fusion shortcomings, such as high data redundancy ratio, complicated structure and poor performance, etc. First, UDCT is applied on the multi-focus images and subband coefficients of multi-scales and multi-directions are obtained. Then, different fusion rules are used for high-low frequency coefficients respectively. i.e. high frequency coefficients are fused by rules of local energy, and low frequency coefficients are fused by rules of local average gradient. Finally, Inverse Uniform Discrete Curvelet Transform (IUDCT) is applied to the new high-low frequency coefficients, and the fused result image is obtained. Simulation results show that the proposed UDCT images fusion method is superior to other related multi-scale analysis image fusion methods in subjective visual effect and objective evaluation parameters.
重要日期
  • 会议日期

    11月17日

    2014

    11月19日

    2014

  • 10月10日 2014

    初稿截稿日期

  • 10月31日 2014

    终稿截稿日期

  • 11月19日 2014

    注册截止日期

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