Solving ill-posed inverse problems using iterative deep neural networks
نویسندگان
چکیده
منابع مشابه
Solving ill-posed inverse problems using iterative deep neural networks
We propose a partially learned approach for the solution of ill posed inverse problems with not necessarily linear forward operators. The method builds on ideas from classical regularization theory and recent advances in deep learning to perform learning while making use of prior information about the inverse problem encoded in the forward operator, noise model and a regularizing functional. Th...
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ژورنال
عنوان ژورنال: Inverse Problems
سال: 2017
ISSN: 0266-5611,1361-6420
DOI: 10.1088/1361-6420/aa9581