Deep Plug-and-Play HIO Approach for Phase Retrieval

Autor: Isil, Cagatay, Oktem, Figen S.

In the phase retrieval problem, the aim is the recovery of an unknown image from intensity-only measurements such as Fourier intensity. Although there are several solution approaches, solving this problem is challenging due to its nonlinear and ill-p

Externí odkaz: http://arxiv.org/abs/2411.18967

Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging

Autor: Oral, Okyanus, Oktem, Figen S.

Near-field radar imaging systems are used in a wide range of applications such as concealed weapon detection and medical diagnosis. In this paper, we consider the problem of reconstructing the three-dimensional (3D) complex-valued reflectivity distri

Externí odkaz: http://arxiv.org/abs/2312.16024

High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction

Autor: Oktem, Figen S., Kar, Oğuzhan Fatih, Bezek, Can Deniz, Kamalabadi, Farzad

Publikováno v: IEEE Transactions on Computational Imaging (2021)

Spectral imaging is a fundamental diagnostic technique with widespread application. Conventional spectral imaging approaches have intrinsic limitations on spatial and spectral resolutions due to the physical components they rely on. To overcome these

Externí odkaz: http://arxiv.org/abs/2008.11625

Deep Iterative Reconstruction for Phase Retrieval

Autor: Işıl, Çağatay, Oktem, Figen S., Koç, Aykut

Publikováno v: \c{C}a\u{g}atay I\c{s}{\i}l, Figen S. Oktem, and Aykut Ko\c{c}, "Deep iterative reconstruction for phase retrieval," Appl. Opt. 58, 5422-5431 (2019)

Classical phase retrieval problem is the recovery of a constrained image from the magnitude of its Fourier transform. Although there are several well-known phase retrieval algorithms including the hybrid input-output (HIO) method, the reconstruction

Externí odkaz: http://arxiv.org/abs/1904.11301

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