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Found 8 papers, 0 papers with code
Neural radiance fields-based holography [Invited]
NeRF is a state-of-the-art technique for 3D light-field reconstruction from 2D images based on volume rendering.
Controllable energy angular spectrum method
A controllable energy method, which considers the undersampling issue of the transfer function and valid spectral energy of a source signal, is proposed to implement angular spectrum diffraction calculation in near and far fields.
Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks
However, it is limited to reconstructing images that are the same size as the hologram.
Computational ghost imaging using a field-programmable gate array
Computational ghost imaging is a promising technique for single-pixel imaging because it is robust to disturbance and can be operated over broad wavelength bands, unlike common cameras.
Convolutional neural network-based regression for depth prediction in digital holography
Digital holography enables us to reconstruct objects in three-dimensional space from holograms captured by an imaging device.
Computational ghost imaging using deep learning
Computational ghost imaging (CGI) is a single-pixel imaging technique that exploits the correlation between known random patterns and the measured intensity of light transmitted (or reflected) by an object.
Deep-learning-based data page classification for holographic memory
We propose a deep-learning-based classification of data pages used in holographic memory.
Autoencoder-based holographic image restoration
We propose a holographic image restoration method using an autoencoder, which is an artificial neural network.
