mlsanityData to 14 Oct 2026

ASTRA-SR: Atmospheric Seeing and Turbulence Restoration for Astronomical Image Super-Resolution

arXiv 2609.26731 ↗First posted 22 Sep 2026cs.CVcited by 0

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Abstract (arXiv)

Ground-based planetary imaging suffers from atmospheric turbulence, sensor noise, and limited sampling, making restoration a joint denoising, deblurring, and super-resolution problem. We present ASTRA-SR, a blind single-frame restoration framework trained on a physics-grounded synthetic dataset. High-dynamic-range spacecraft RAW observations serve as clean sources, and paired LR inputs are synthesized using measured layer-integrated turbulence strengths, propagated moving phase screens, exposure-averaged spatially varying PSFs, and sensor noise.ASTRA-SR first estimates a noise-suppressed but blur-retaining LR image, then restores spatial structure through multiscale processing and reconstructs HR detail with serial spatial-amplitude refinement. It yields a 0.49 dB foreground PSNR gain over the strongest baseline approaches.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 28 of its 44 references that are in the map. First posted on arXiv 22 Sep 2026.

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28 of 44 references.

References · 28

  1. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  2. 2022Simple Baselines for Image Restorationcited by 708
  3. 2020Plug-and-Play Image Restoration with Deep Denoiser Priorcited by 470
  4. 2023ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shiftingcited by 365
  5. 2024MambaIR: A Simple Baseline for Image Restoration with State-Space Modelcited by 352
  6. 2023SeeSR: Towards Semantics-Aware Real-World Image Super-Resolutioncited by 315
  7. 2022Efficient Frequency Domain-based Transformers for High-Quality Image Deblurringcited by 165
  8. 2019Neural Blind Deconvolution Using Deep Priorscited by 113
  9. 2022Parallel Diffusion Models of Operator and Image for Blind Inverse Problemscited by 113
  10. 2024AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulationcited by 111
  11. 2024MambaIRv2: Attentive State Space Restorationcited by 94
  12. 2021Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transformcited by 50
16 more
  1. 2021Noise2Fast: Fast Self-Supervised Single Image Blind Denoisingcited by 28
  2. 2026The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Reportcited by 25
  3. 2025RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstructioncited by 19
  4. 2025Residual Diffusion Bridge Model for Image Restorationcited by 15
  5. 2025Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigationcited by 9
  6. 2026Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imagingcited by 8
  7. 2026Dual-Branch Remote Sensing Infrared Image Super-Resolutioncited by 7
  8. 2026Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoisingcited by 6
  9. 2026Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensationcited by 6
  10. 2025Unsupervised Imaging Inverse Problems with Diffusion Distribution Matchingcited by 5
  11. 2026Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoisingcited by 5
  12. 2026Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imagingcited by 3
  13. 2026RAWild: Sensor-Agnostic RAW Object Detection via Physics-Guided Curve and Grid Modelingcited by 3
  14. 2026FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolutioncited by 2
  15. 2025Super Resolved Imaging with Adaptive Opticscited by 1
  16. 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesiscited by 1

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