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pro vyhledávání: '"Manekar, Raunak"'
Autor:
Manekar, Raunak, Negrini, Elisa, Pham, Minh, Jacobs, Daniel, Srivastava, Jaideep, Osher, Stanley J., Miao, Jianwei
Phase retrieval (PR) is fundamentally important in scientific imaging and is crucial for nanoscale techniques like coherent diffractive imaging (CDI). Low radiation dose imaging is essential for applications involving radiation-sensitive samples. How
Externí odkaz:
http://arxiv.org/abs/2402.17745
Autor:
Tayal, Kshitij, Manekar, Raunak, Zhuang, Zhong, Yang, David, Kumar, Vipin, Hofmann, Felix, Sun, Ju
Several deep learning methods for phase retrieval exist, but most of them fail on realistic data without precise support information. We propose a novel method based on single-instance deep generative prior that works well on complex-valued crystal d
Externí odkaz:
http://arxiv.org/abs/2106.04812
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society [IEEE Trans Image Process] 2024; Vol. 33, pp. 4728-4737. Date of Electronic Publication: 2024 Aug 30.