BlindNet: an untrained learning approach toward computational imaging with model uncertainty
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Physics D: Applied Physics"
DOI: 10.1088/1361-6463/ac2ad4
Abstract: The solution of an inverse problem in computational imaging (CI) often requires the knowledge of the physical model and/or the object. However, in many practical applications, the physical model may not be accurately characterized, leading… read more here.
Keywords: learning approach; model; untrained learning; computational imaging ... See more keywords
Dynamic coherent diffractive imaging with a physics-driven untrained learning method.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.433507
Abstract: Reconstruction of a complex field from one single diffraction measurement remains a challenging task among the community of coherent diffraction imaging (CDI). Conventional iterative algorithms are time-consuming and struggle to converge to a feasible solution… read more here.
Keywords: physics; physics driven; learning method; diffraction ... See more keywords