291 citations · 2.5k across the 25 of their papers we have counts for
5 papers · 2 filters
All-optical image denoising using a diffractive visual processor
Cagatay Isıl, Tianyi Gan, F. Onuralp Ardic +9
Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers,…
Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network
Che-Yung Shen, Jingxi Li, Deniz Mengu +1
As a label-free imaging technique, quantitative phase imaging (QPI) provides optical path length information of transparent specimens for various applications in biology, materials…
Pyramid diffractive optical networks for unidirectional image magnification and demagnification
Bijie Bai, Xilin Yang, Tianyi Gan +4
Diffractive deep neural networks (D2NNs) are composed of successive transmissive layers optimized using supervised deep learning to all-optically implement various computational ta…
Plasmonic photoconductive terahertz focal-plane array with pixel super-resolution
Xurong Li, Deniz Mengu, Aydogan Ozcan +1
Imaging systems operating in the terahertz part of the electromagnetic spectrum are in great demand because of the distinct characteristics of terahertz waves in penetrating many o…
Quantitative phase imaging (QPI) through random diffusers using a diffractive optical network
Yuhang Li, Yi Luo, Deniz Mengu +2
Quantitative phase imaging (QPI) is a label-free computational imaging technique used in various fields, including biology and medical research. Modern QPI systems typically rely o…