A Contourlet Domain SCA for Blind Image Separation

نویسندگان

  • Shengpeng Liu
  • Yong Fang
چکیده

A contourlet domain sparse component analysis for blind image separation is proposed. An estimation algorithm for separation matrix is given based on the sparse description of the contourlet transform. The proposed algorithm is used to separate the mixed images. Simulation results show that the proposed approach is able to yield better separation performance for convergence speed, and the order of the separated signals can be determined.

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تاریخ انتشار 2006