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Image reconstruction algorithm for EMT based on modified Tikhonov regularization method

机译:基于改进的Tikhonov正则化方法的EMT图像重建算法

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For Electromagnetic Tomography (EMT) Techniques, image reconstruction is one of the crucial steps, which directly affects the quality of reconstruction and real-time performance of the EMT system. Following analyzing the standard Tikhonov regularization method, an improved Tikhonov method is proposed to alleviate the ill-posed characteristics of the EMT inverse problem. The new algorithm involves two steps. First, two weight matrices are estimated using the solution of the standard Tikhonov regularization method, then the image is reconstructed via the improved algorithm proposed in this paper. Experimental tests confirm that the quality of the reconstructed images using the improved algorithm is enhanced to some extent, and iterative procedure is unnecessary, thus the real-time performance can be ensured.
机译:对于电磁层析成像(EMT)技术,图像重建是至关重要的步骤之一,它直接影响EMT系统的重建质量和实时性能。在分析了标准的Tikhonov正则化方法之后,提出了一种改进的Tikhonov方法来减轻EMT逆问题的不适定特性。新算法涉及两个步骤。首先,使用标准Tikhonov正则化方法的解估计两个权重矩阵,然后使用本文提出的改进算法重建图像。实验测试表明,改进算法在一定程度上提高了重建图像的质量,并且不需要迭代过程,可以保证实时性。

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