354 citations · 2.8k across the 40 of their papers we have counts for
23 papers · 1 filter
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…
Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array
Dehui Zhang, Dong Xu, Yuhang Li +14
Nonlinear optical processing of ambient natural light is highly desired in computational imaging and sensing applications. A strong optical nonlinear response that can work under w…
Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions
Md Sadman Sakib Rahman, Tianyi Gan, Emir Arda Deger +3
Free-space optical systems are emerging for high data rate communication and transfer of information in indoor and outdoor settings. However, free-space optical communication becom…
Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer
Yuhang Li, Jingxi Li, Yifan Zhao +4
We demonstrate universal polarization transformers based on an engineered diffractive volume, which can synthesize a large set of arbitrarily-selected, complex-valued polarization…
Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding
Yuhang Li, Tianyi Gan, Bijie Bai +3
Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due…
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors
Md Sadman Sakib Rahman, Xilin Yang, Jingxi Li +2
Under spatially-coherent light, a diffractive optical network composed of structured surfaces can be designed to perform any arbitrary complex-valued linear transformation between…
Rapid Sensing of Hidden Objects and Defects using a Single-Pixel Diffractive Terahertz Processor
Jingxi Li, Xurong Li, Nezih T. Yardimci +6
Terahertz waves offer numerous advantages for the nondestructive detection of hidden objects/defects in materials, as they can penetrate through most optically-opaque materials. Ho…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
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…
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging
Hanlong Chen, Luzhe Huang, Tairan Liu +1
The application of deep learning techniques has greatly enhanced holographic imaging capabilities, leading to improved phase recovery and image reconstruction. Here, we introduce a…
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…
Unidirectional Imaging using Deep Learning-Designed Materials
Jingxi Li, Tianyi Gan, Yifan Zhao +5
A unidirectional imager would only permit image formation along one direction, from an input field-of-view (FOV) A to an output FOV B, and in the reverse path, the image formation…
Time-lapse image classification using a diffractive neural network
Md Sadman Sakib Rahman, Aydogan Ozcan
Diffractive deep neural networks (D2NNs) define an all-optical computing framework comprised of spatially engineered passive surfaces that collectively process optical input inform…
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…
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…
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
Yuhang Li, Yi Luo, Bijie Bai +1
Imaging through diffusive media is a challenging problem, where the existing solutions heavily rely on digital computers to reconstruct distorted images. We provide a detailed anal…
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…
Cascadable all-optical NAND gates using diffractive networks
Yi Luo, Deniz Mengu, Aydogan Ozcan
Owing to its potential advantages such as scalability, low latency and power efficiency, optical computing has seen rapid advances over the last decades. A core unit of a potential…
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces
Onur Kulce, Deniz Mengu, Yair Rivenson +1
We report the design of diffractive surfaces to all-optically perform arbitrary complex-valued linear transformations between an input (N_i) and output (N_o), where N_i and N_o rep…
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
Deniz Mengu, Muhammed Veli, Yair Rivenson +1
Diffractive optical networks unify wave optics and deep learning to all-optically compute a given machine learning or computational imaging task as the light propagates from the in…
Computational Imaging Without a Computer: Seeing Through Random Diffusers at the Speed of Light
Yi Luo, Yifan Zhao, Jingxi Li +4
Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. We present a computer-free, all-o…