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Deep learning method for pinhole array color image reconstruction
Eliezer Danan
, Noa E. Cohen
, Ariel Schwarz
, Amir Shemer
, Yossef Danan
Bar-Ilan University
Azrieli College of Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'Deep learning method for pinhole array color image reconstruction'. Together they form a unique fingerprint.
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Keyphrases
Deep Learning Methods
100%
Pinhole Array
100%
Coded Aperture
100%
Color Restoration
100%
Filter Method
66%
Pinhole
66%
Spatial Frequency
66%
Signal-to-noise Ratio
66%
Inverse Filter
66%
Enhanced Sensitivity
33%
Imaging Systems
33%
Duplication
33%
Deep Neural Network
33%
Inverse Filtering
33%
High Signal-to-noise Ratio
33%
Deep Convolutional Neural Network (deep CNN)
33%
Frequency Threshold
33%
Array Design
33%
Encoder-decoder
33%
Pinhole Imaging
33%
Image Distortion
33%
Wiener Filtering
33%
Multi-pinhole
33%
Planar Images
33%
Remove Noise
33%
Engineering
Signal-to-Noise Ratio
100%
Image Reconstruction
100%
Color Image
100%
Deep Learning
100%
Spatial Frequency
66%
Filtration
66%
Inverse Filter
66%
Limitations
33%
Experimental Result
33%
Illustrates
33%
Obtained Image
33%
Convolutional Neural Network
33%
Deep Neural Network
33%
Imaging Systems
33%
Image Distortion
33%