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Conference Paper
Practical Self-Supervised Denoising for Incoherent Digital Holography Without Ground Truth Data
- Authors
- Kihong Choi, Keehoon Hong, Youngrok Kim, Sung-Wook Min
- Issue Date
- 2026-06
- Citation
- Digital Holography and Three-Dimensional Imaging (DH) 2026, pp.1-2
- Publisher
- Optica Publishing Group
- Language
- English
- Type
- Conference Paper
- Abstract
- We propose a practical self-supervised framework for denoising raw incoherent digital holograms. By suppressing sensor noise before bias and conjugating noise elimination, we prevent fourfold amplification without ground truth or paired training data.
- KSP Keywords
- Ground truth data, Noise Elimination, Sensor noise, incoherent digital holography, training data
- © 2026 The Author(s). Accepted for publication in Digital Holography and Three-Dimensional Imaging (DH) 2026 by Optica Publishing Group.