Synthetic-Aperture Super-Resolution Imaging via Spatial-Frequency Shift in Near-Field Diffraction
Abstract
Grating-based computational imaging shifts high-spatial-frequency information into the detectable range, enabling super-resolution reconstruction. However, a fixed grating produces effective diffraction-mediated shifts only for specific spatial-frequency vectors, limiting spatial-frequency coverage. Here, we propose a synthetic-aperture super-resolution method in which repeated imaging with a rotating grating broadens spatial-frequency coverage and expands the effective aperture. A physics-prior-guided restoration framework then employs a multichannel deep-learning network to fuse images acquired at different grating orientations. Using diffraction images from only three grating orientations, the proposed method reconstructed the object with a resolution of λ/3.9. This approach offers a practical route to grating-modulated super-resolution imaging in systems with limited numerical aperture.
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BibTeX
@misc{sun2026syntheticaperture,
title = {{Synthetic-Aperture Super-Resolution Imaging via Spatial-Frequency Shift in Near-Field Diffraction}},
author = {Qihao Sun and Chunzheng Bai and Wenjing Fang and Zongyan Zhang and Songlin Yang and Yonghong Ye and Mingyi Tao and Jiayu Zhang},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.24039},
eprint = {2609.24039},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.24039},
}
RIS
TY - UNPB
TI - Synthetic-Aperture Super-Resolution Imaging via Spatial-Frequency Shift in Near-Field Diffraction
AU - Qihao Sun
AU - Chunzheng Bai
AU - Wenjing Fang
AU - Zongyan Zhang
AU - Songlin Yang
AU - Yonghong Ye
AU - Mingyi Tao
AU - Jiayu Zhang
PY - 2026
DA - 2026/09/21
PB - arXiv
DO - 10.48550/arxiv.2609.24039
UR - https://arxiv.org/abs/2609.24039
AB - Grating-based computational imaging shifts high-spatial-frequency information into the detectable range, enabling super-resolution reconstruction. However, a fixed grating produces effective diffraction-mediated shifts only for specific spatial-frequency vectors, limiting spatial-frequency coverage. Here, we propose a synthetic-aperture super-resolution method in which repeated imaging with a rotating grating broadens spatial-frequency coverage and expands the effective aperture. A physics-prior-guided restoration framework then employs a multichannel deep-learning network to fuse images acquired at different grating orientations. Using diffraction images from only three grating orientations, the proposed method reconstructed the object with a resolution of λ/3.9. This approach offers a practical route to grating-modulated super-resolution imaging in systems with limited numerical aperture.
ER -