Objective 01
Lock degraded optical signals
Measure Shack-Hartmann spot patterns when turbulence, noise, scintillation, and uneven sub-aperture reliability make the wavefront difficult to recover.
Shack-Hartmann Wavefront Sensing | Adaptive Optics | Computational Imaging
Optical Engineering · Wavefront Sensing
Zhihao Lei / 雷知昊 · PhD Candidate in Optical Engineering
Robust Shack-Hartmann wavefront sensing for noisy, turbulent, and low-signal optical measurements.
Research Focus
Objective 01
Measure Shack-Hartmann spot patterns when turbulence, noise, scintillation, and uneven sub-aperture reliability make the wavefront difficult to recover.
Objective 02
Connect spot restoration, centroid estimation, confidence weighting, and wavefront reconstruction into a practical image-to-correction workflow.
Objective 03
Treat reconstruction as a mission-critical handoff: robust measurements become actionable inputs for adaptive optics control and computational imaging.
Research Workflow
Capture noisy, distorted Shack-Hartmann spot arrays under unstable optical conditions.
Apply denoising and preprocessing so weak spot patterns remain measurable.
Extract reliable local displacements and weigh sub-apertures by signal quality.
Convert local measurements into a corrected wavefront estimate for AO workflows.
Selected Research Directions
Weighted centroiding and signal-quality-aware reconstruction for Shack-Hartmann measurements.
Denoising workflows for degraded Shack-Hartmann spot images before centroid estimation.
Residual-learning denoising experiments for optical spot image restoration workflows.
Publications & Contact
Only verified publications will be listed. Current work remains presented as research direction and project context, not performance claims.
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