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ITERATED VARIATIONAL REGULARIZATION COMBINED WITH COMPONENTWISE REGULARIZATION

机译:迭代变调整与分量调整相结合

摘要

The present invention relates to a solution for solving an ill-posed inverse problem in image analysis, e.g. in an electron tomography application in order to recover a structure of a sample. The solution is provided for instance as a method comprising steps of determining reliable prior knowledge about the solution, determining initial guess for the solution and determining the corresponding forward operator, deciding upon model of stochasticity, deciding on suitable regularization method, deciding on updating scheme, and producing a sequence using the set configuration.
机译:本发明涉及一种解决图像分析中不适定逆问题的解决方案,例如在电子断层扫描应用中用于恢复样品的结构。例如,提供该解决方案作为一种方法,包括确定有关该解决方案的可靠先验知识,确定该解决方案的初始猜测并确定相应的前向运算符,确定随机性模型,确定合适的正则化方法,确定更新方案,并使用设置的配置生成一个序列。

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