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Multiplicative Regularized Contrast Source Inversion Method.

机译:乘法正则化对比源反演方法。

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摘要

We discuss the problem of the reconstruction of the profile of an inhomogeneous object from scattered field data. Our starting point is the contrast source inversion method, where the unknown contrast sources and the unknown contrast are updated by an iterative minimization of a cost functional. We discuss the possibility of the presence of local minima of the nonlinear cost functional and under which conditions they can exist. Inspired by the successful implementation of the minimization of total variation and other edge-preserving algorithms in image restoration and inverse scattering, we have explored the use of these image-enhancement techniques as an extra regularization.

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