Imaging through glass diffusers using densely connected convolutional networks
Computational imaging through scatter generally is accomplished by first characterizing the scattering medium so that its forward operator is obtained and then imposing additional priors in the form of regularizers on the reconstruction functional to improve the condition of the originally ill-posed...
Main Authors: | Li, Shuai (Contributor), Deng, Mo (Contributor), Lee, Justin Wu (Contributor), Sinha, Ayan T (Contributor), Barbastathis, George (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Department of Physics (Contributor) |
Format: | Article |
Language: | English |
Published: |
Oxford University Press,
2019-03-19T13:10:21Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Lensless computational imaging through deep learning
by: Sinha, Ayan T, et al.
Published: (2018) -
Classified Mammography Images Using Densely Connected Convolutional Networks
by: Hsin-Ting Tsai, et al.
Published: (2019) -
Quantitative phase microscopy using deep neural networks
by: Li, Shuai, et al.
Published: (2018) -
Steganalysis in JPEG Images based on Densely Connected Convolutional Neural Network
by: Jia-Ming Hu, et al.
Published: (2019) -
Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification
by: Feng Zhao, et al.
Published: (2021-08-01)