the support of ONR(Grant#N00014-22-1-2016);The Jarrahi Research Group at UCLA acknowledges the support of NSF(Grant#2141223).
Diffractive deep neural networks(D2NNs)are composed of successive transmissive layers optimized using supervised deep learning to all-optically implement various computational tasks between an input and output field-o...
supported by the National Natural Science Foundation of China(No.62275139).
Wireless sensing of the wave propagation direction from radio sources lays the foundation for communication,radar,navigation,etc.However,the existing signal processing paradigm for the direction of arrival estimation ...
supported by the U.S.Department of Energy(DOE),Office of Basic Energy Sciences,Division of Materials Sciences and Engineering under Award#DE-SC0023088.
Nonlinear encoding of optical information can be achieved using various forms of data representation.Here,we analyze the performances of different nonlinear information encoding strategies that can be employed in diff...
The Ozcan Research Group at UCLA acknowledges the support of ONR (Grant#N00014-22-1-2016).
Complex field imaging,which captures both the amplitude and phase information of input optical fields or objects,can offer rich structural insights into samples,such as their absorption and refractive index distributi...
Research Group at UCLA acknowledges the support of U.S.Department of Energy(DOE),Office of Basic Energy Sciences,Division of Materials Sciences and Engineering under Award#DE-SC0023088.
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,present latency due to several iterations i...
supported by the National Natural Science Foundation of China(62125503,62261160388,62001182,62371202);the Natural Science Foundation of Hubei Province of China(2023AFA028,2023AFB814);the Key R&D Program of Guangdong Province(2018B030325002);the Key R&D Program of Hubei Province of China(2021BAA024,2020BAB001);the Innovation Project of Optics Valley Laboratory(OVL2021BG004).
While the spatial mode of photons is widely used in quantum cryptography, its potential for quantum computation remains largely unexplored. Here, we showcase the use of the multi-dimensional spatial mode of photons to...
Diffractive liquid-crystal optics is a promising optical element for virtual reality(VR)and mixed reality as it provides an ultrathin formfactor and lightweight for human factors and ergonomics.However,its severe chro...
The Ozcan Research Group at UCLA acknowledges the support of U.S.Department of Energy(DOE),Office of Basic Energy Sciences,Division of Materials Sciences and Engineering under Award#DE-SC0023088.
Under spatially coherent light,a diffractive optical network composed of structured surfaces can be designed to perform any arbitrary complex-valued linear transformation between its input and output fields-of-view(FO...
supported by the U.S.Department of Energy(DOE),Office of Basic Energy Sciences,Division of Materials Sciences and Engineering under Award#DE-SC0023088.
Multispectral imaging has been used for numerous applications in e.g.,environmental monitoring,aerospace,defense,and biomedicine.Here,we present a diffractive optical network-based multispectral imaging system trained...
Recently,a new diffractive camera design based on transmissive surfaces structured using deep learning is proposed.It performs class-specific imaging of target objects and all-optical deletion of other classes of obje...