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Image reconstruction for electrical resistance tomography based on extended sensitivity matrix

机译:基于扩展灵敏度矩阵的电阻层析成像图像重建

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Image reconstruction for electrical resistance tomography is an ill-posed and ill-conditioned problem. To enhance the image quality, a regularized method should be applied for the image reconstruction. However, most of the existing algorithms are based on a sensitivity matrix calculated according to each pixel. In this paper, a new extended sensitivity matrix is designed and used for image reconstruction. The extended sensitivity matrix is consisting of a lot of block bases of mixed sizes. An image reconstruction algorithm for electrical resistance tomography based on the extended sensitivity matrix and Landweber iteration is carried out. Simulation results show that the proposed method can provide a good image quality.
机译:电阻层析成像的图像重建是一个不适定和条件不佳的问题。为了提高图像质量,应将正则化方法应用于图像重建。然而,大多数现有算法是基于根据每个像素计算的灵敏度矩阵。本文设计了一种新的扩展灵敏度矩阵,并将其用于图像重建。扩展的灵敏度矩阵由许多混合大小的块基组成。基于扩展的灵敏度矩阵和Landweber迭代算法,实现了一种用于电阻层析成像的图像重建算法。仿真结果表明,该方法可以提供良好的图像质量。

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