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Image restoration method based on learned nonlinear mapping

机译:基于学习非线性映射的图像恢复方法

摘要

The present invention relates to an array processing image reconstruction method, comprising the steps of: receiving (13) a series of echo waveforms from an object of interest as measured values; defining a measurement model by connecting an unknown image of an object to a measurement value (15); defining a data fidelity function using the measurement model (17); defining a normalization function using the learned nonlinear mapping (19), wherein the normalization function includes prior knowledge of the unknown image; defining (21) an optimal solution comprising a data fidelity function and a normalization function to obtain a first image estimate of the unknown image; and solving an optimal solution to obtain a first image estimate (23).
机译:阵列处理图像重建方法技术领域本发明涉及阵列处理图像重建方法,包括以下步骤:接收(13)从感兴趣的对象作为测量值的一系列回波波形;通过将物体的未知图像连接到测量值(15)来定义测量模型;使用测量模型(17)定义数据保真功能;使用学习的非线性映射(19)定义归一化函数,其中归一化函数包括未知图像的先验知识;定义(21)一种最佳解决方案,包括数据保真功能和归一化功能,以获得未知图像的第一图像估计;并解决最佳解决方案以获得第一图像估计(23)。

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