70 citations · 115 across the 6 of their papers we have counts for
6 papers
Ergonomic-Centric Holography: Optimizing Realism,Immersion, and Comfort for Holographic Display
Liang Shi, DongHun Ryu, Wojciech Matusik
We introduce ergonomic-centric holography, an algorithmic framework that simultaneously optimizes for realistic incoherent defocus, unrestricted pupil movements in the eye box, and…
DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging using Deep Learning
DongHun Ryu, Dongmin Ryu, YoonSeok Baek +8
Optical diffraction tomography measures the three-dimensional refractive index map of a specimen and visualizes biochemical phenomena at the nanoscale in a non-destructive manner.…
Calibration-free quantitative phase imaging using data-driven aberration modeling
Taean Chang, Youngju Jo, Gunho Choi +3
We present a data-driven approach to compensate for optical aberration in calibration-free quantitative phase imaging (QPI). Unlike existing methods that require additional measure…
Deep learning-enabled image quality control in tomographic reconstruction: Robust optical diffraction tomography
Donghun Ryu, Youngju Jo, Jihyeong Yoo +6
In tomographic reconstruction, the image quality of the reconstructed images can be significantly degraded by defects in the measured two-dimensional (2D) raw image data. Despite t…
Deep learning approach to coherent noise reduction in optical diffraction tomography
Gunho Choi, Donghun Ryu, Youngju Jo +4
We present a deep neural network to reduce coherent noise in three-dimensional quantitative phase imaging. Inspired by the cycle generative adversarial network, the denoising netwo…
Subsampled Phase Retrieval for On-chip Lensless Holographic Video
Donghun Ryu, Zihao Wang, Kuan He +2
On-chip holographic video is a convenient way to monitor biological samples simultaneously at high spatial resolution and over a wide field-of-view. However, due to the limited rea…