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  1. Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction

  2. For fluorescence molecular tomography (FMT), image quality could be improved by incorporating a sparsity constraint. The L1 norm regularization method has been proven better than the L2 norm, like Tikhonov regularization. However, the Tikhonov method
  3. 所属分类:其它

    • 发布日期:2021-01-26
    • 文件大小:637952
    • 提供者:weixin_38679651