mlsanityData to 7 Oct 2026

Tilt-then-Blur or Blur-then-Tilt? Clarifying the Atmospheric Turbulence Model

arXiv 2207.06377 ↗First posted 13 Jul 2022eess.IVcited by 17

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Abstract (arXiv)

Imaging at a long distance often requires advanced image restoration algorithms to compensate for the distortions caused by atmospheric turbulence. However, unlike many standard restoration problems such as deconvolution, the forward image formation model of the atmospheric turbulence does not have a simple expression. Thanks to the Zernike representation of the phase, one can show that the forward model is a combination of tilt (pixel shifting due to the linear phase terms) and blur (image smoothing due to the high order aberrations). Confusions then arise between the ordering of the two operators. Should the model be tilt-then-blur, or blur-then-tilt? Some papers in the literature say that the model is tilt-then-blur, whereas more papers say that it is blur-then-tilt. This paper clarifies the differences between the two and discusses why the tilt-then-blur is the correct model. Recommendations are given to the research community.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jul 2022.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 3; 2024: 7; 2025: 3; 2026: 3.

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  1. 2022Parallel Diffusion Models of Operator and Image for Blind Inverse Problemscited by 113
  2. 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Modelscited by 60
  3. 2023FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitudecited by 27
  4. 2023Physics-Driven Turbulence Image Restoration with Stochastic Refinementcited by 24
  5. 2024Spatio-Temporal Turbulence Mitigation: A Translational Perspectivecited by 22
  6. 2024Deep Learning Techniques for Atmospheric Turbulence Removal: A Reviewcited by 10
  7. 2025Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigationcited by 9
  8. 2024Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Frameworkcited by 8
  9. 2024Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulencecited by 7
  10. 2024Diffeomorphic Template Registration for Atmospheric Turbulence Mitigationcited by 6
  11. 2025EvTurb: Event Camera Guided Turbulence Removalcited by 3
  12. 2023NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigationcited by 2
5 more
  1. 2025Double Blind Imaging with Generative Modelingcited by 1
  2. 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesiscited by 1
  3. 2024Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibrationcited by 0
  4. 2026GSTurb: Gaussian Splatting for Atmospheric Turbulence Mitigationcited by 0
  5. 2026High-Quality and Efficient Turbulence Mitigation with Eventscited by 0