Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction - 源码 - 源码 - 免费下载

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

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资源说明：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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