holography
inline-digital-holography-v3
Dataset Card for Synthetic Inline Holographical Images v3 (224px Highly Diverse)
This dataset provides synthetic image triplets representing inline holographical imaging in a simulated environment. This version (v3) uses a native 224x224 resolution optimized for modern Vision Transformers (ViT, Swin) and contains 25,000 samples across 8 noise configurations.
Each data sample consists of:
An object-domain field (ground truth),
Its corresponding forward-propagated hologram (the… See the full description on the dataset page: https://huggingface.co/datasets/gokhankocmarli/inline-digital-holography-v3.inline-digital-holography-v2
Dataset Card for Synthetic Inline Holographical Images
This dataset provides synthetic image triplets representing inline holographical imaging in a simulated environment. Each data sample consists of:
An object-domain field (ground truth),
Its corresponding forward-propagated hologram (the inline holographic pattern at the sensor plane, intensity),
The numerically reconstructed image (via angular spectrum method).
The dataset is intended to facilitate research in computational… See the full description on the dataset page: https://huggingface.co/datasets/gokhankocmarli/inline-digital-holography-v2.celestial-holography-tokenprint-atlas-r164
Celestial Holography Token-Print Atlas R164
This is AI-generated, machine-screened research organization. It is not proof, not proven, not peer review, not expert validation, and not a scientific discovery claim. We may be wrong.
This public update keeps the original R164 atlas and adds a new review-oriented work layer. The prior base remains the 75-paper token-print atlas. The new layer adds public-safe counts, hashed metadata rows, candidate groups, review gates, and next… See the full description on the dataset page: https://huggingface.co/datasets/cjc0013/celestial-holography-tokenprint-atlas-r164.inline-digital-holography
Dataset Card for Synthetic Inline Holographical Images
This dataset provides synthetic image triplets representing inline holographical imaging in a simulated environment. Each data sample consists of:
An object-domain image (the ground-truth object or amplitude pattern),
Its corresponding forward-propagated hologram (the inline holographic pattern at the sensor plane),
The numerically reconstructed image (via back-propagation or angular spectrum method).
The dataset is intended… See the full description on the dataset page: https://huggingface.co/datasets/gokhankocmarli/inline-digital-holography.
