Shack-Hartmann wavefront sensing
A measurement workflow that uses local spot displacements for wavefront estimation and computational reconstruction.
Research
Research Overview
My doctoral research is centered on optical engineering problems in Shack-Hartmann wavefront sensing, adaptive optics, and computational imaging, especially under strong turbulence and low-SNR sensing conditions.
Degraded optical conditions
Research focus includes strong turbulence, scintillation, low signal quality, and unreliable sub-aperture measurements.
Adaptive optics workflow
Connecting sensing, reconstruction, and correction as a coherent closed-loop optical engineering workflow.
Questions
Core Research Questions
The questions below frame the research as optical engineering tasks without implying publication status or verified performance claims.
01
How can Shack-Hartmann wavefront sensing remain reliable under strong turbulence?
The sensing workflow must preserve meaningful local displacement information even when spot quality varies across the pupil.
02
How can degraded spot images be denoised while preserving centroid information?
Image restoration should improve measurement usability without erasing the intensity structure needed for centroid estimation.
03
How can unreliable sub-apertures be handled in wavefront reconstruction?
Measurement quality can be represented in reconstruction so that weak or distorted local measurements do not dominate the estimate.
04
How can sensing, reconstruction, and correction be connected in adaptive optics workflows?
The research task is to keep the whole optical correction chain coherent, from spot image acquisition to adaptive correction.
Methods
Methodological Focus
Current work is organized around the image-processing and reconstruction stages that shape Shack-Hartmann wavefront estimates.
Shack-Hartmann wavefront sensing
Wavefront measurement using local spot displacement patterns from microlens-array sensing.
SH-WFSOptical sensing
Strong turbulence and scintillation
Sensing conditions where spot intensity, shape, and local measurement reliability can degrade.
TurbulenceScintillation
Spot image denoising
Image restoration before centroid estimation for low-SNR Shack-Hartmann measurements.
Low-SNRImage restoration
Weighted centroiding
Centroid estimation strategies that account for local intensity structure and unreliable pixels.
Centroid estimationSpot localization
SNR-weighted least-squares reconstruction
Wavefront reconstruction that represents measurement quality through signal-to-noise-aware weighting.
SNR-WLSReconstruction
Adaptive optics closed-loop correction
Workflow-level connection between wavefront sensing, computational reconstruction, and optical correction.
Adaptive opticsClosed loop