291 citations · 2.5k across the 25 of their papers we have counts for
7 papers · 2 filters
Data class-specific all-optical transformations and encryption
Bijie Bai, Heming Wei, Xilin Yang +2
Diffractive optical networks provide rich opportunities for visual computing tasks since the spatial information of a scene can be directly accessed by a diffractive processor with…
Snapshot Multispectral Imaging Using a Diffractive Optical Network
Deniz Mengu, Anika Tabassum, Mona Jarrahi +1
Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network…
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks
Deniz Mengu, Yifan Zhao, Anika Tabassum +2
Permutation matrices form an important computational building block frequently used in various fields including e.g., communications, information security and data processing. Opti…
Super-resolution image display using diffractive decoders
Cagatay Isil, Deniz Mengu, Yifan Zhao +5
High-resolution synthesis/projection of images over a large field-of-view (FOV) is hindered by the restricted space-bandwidth-product (SBP) of wavefront modulators. We report a dee…
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
Bijie Bai, Yi Luo, Tianyi Gan +6
Privacy protection is a growing concern in the digital era, with machine vision techniques widely used throughout public and private settings. Existing methods address this growing…
Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Jingxi Li, Yi-Chun Hung, Onur Kulce +2
Research on optical computing has recently attracted significant attention due to the transformative advances in machine learning. Among different approaches, diffractive optical n…
Diffractive all-optical computing for quantitative phase imaging
Deniz Mengu, Aydogan Ozcan
Quantitative phase imaging (QPI) is a label-free computational imaging technique that provides optical path length information of specimens. In modern implementations, the quantita…