Solution for the finite space-bandwidth limitation in digital holography
Byung Gyu Chae

TL;DR
This paper presents a method to surpass the space-bandwidth limit in digital holography, enabling high-resolution wide-field imaging from low-resolution holograms through angle analysis, upsampling, and learning-based denoising.
Contribution
It introduces a novel approach combining angle modulation analysis, high-order diffraction removal, and deep learning to overcome the fundamental resolution constraints in digital holography.
Findings
High-resolution images reconstructed from low-resolution holograms.
Effective elimination of high-order diffraction fields.
Achieved wide-field high-resolution optical imaging.
Abstract
A lensless digital holography enables wide-field microscopic imaging without the limitations imposed by optical lens performance. However, conventional holographic imaging often relies on magnifying optical systems to compensate for the low resolution of holograms captured by image sensors. The spatial resolution of the reconstructed image is fundamentally constrained by the space-bandwidth of the hologram due to aliasing errors at insufficient sampling rates. This study analyzes the spatial distribution of the angular spectrum in undersampled holograms using angle modulation techniques. Aliased replica functions are identified as phase-modulated functions by multiples of the sampling frequency, with the spatial frequency components continuously extending into the replica regions. Optical imaging simulations demonstrate that image reconstruction beyond the space-bandwidth limitation of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Holography and Microscopy · Advanced Optical Imaging Technologies
