文件名称:
Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction
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文件大小: 623kb
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上传时间: 2021-01-26
详细说明：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 was found capable of achieving a similar quality at a high iteration cost by adopting a zeroing strategy. By studying the reason, a Tikhonov-regularization-based projecting sparsity pursuit method was proposed that reduces the iterations significant
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