9 citations · 11 across the 5 of their papers we have counts for
6 papers
Wavefront Coding for Accommodation-Invariant Near-Eye Displays
Ugur Akpinar, Erdem Sahin, Tina M. Hayward +3
We present a new computational near-eye display method that addresses the vergence-accommodation conflict problem in stereoscopic displays through accommodation-invariance. Our sys…
Reconstruction of Optical Coherence Tomography Images from Wavelength-space Using Deep-learning
Maryam Viqar, Erdem Sahin, Elena Stoykova +1
Conventional Fourier-domain Optical Coherence Tomography (FD-OCT) systems depend on resampling into wavenumber (k) domain to extract the depth profile. This either necessitates add…
WAVE-UNET: Wavelength based Image Reconstruction method using attention UNET for OCT images
Maryam Viqar, Erdem Sahin, Violeta Madjarova +2
In this work, we propose to leverage a deep-learning (DL) based reconstruction framework for high quality Swept-Source Optical Coherence Tomography (SS-OCT) images, by incorporatin…
Optical modelling of accommodative light field display system and prediction of human eye responses
Yuta Miyanishi, Erdem Sahin, Atanas Gotchev
The spatio-angular resolution of a light field (LF) display is a crucial factor for delivering adequate spatial image quality and eliciting an accommodation response. Previous stud…
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation
Mehmet Yamac, Ugur Akpinar, Erdem Sahin +2
In CS literature, the efforts can be divided into two groups: finding a measurement matrix that preserves the compressed information at the maximum level, and finding a reconstruct…
Learning Wavefront Coding for Extended Depth of Field Imaging
Ugur Akpinar, Erdem Sahin, Monjurul Meem +2
Depth of field is an important factor of imaging systems that highly affects the quality of the acquired spatial information. Extended depth of field (EDoF) imaging is a challengin…