01
Optical Engineering
Optical wavefront sensing
Robust reconstruction
Low-SNR spot patterns
Workflow
Research Pipeline
A neutral view of the sensing-to-correction workflow used to organize the research topics on this site.
02
Spot image denoising
03
Centroid estimation
04
SNR-weighted reconstruction
05
Adaptive optics correction
Overview
Research at a glance
A compact view of the research problems, methods, and optical conditions that organize this homepage.
Research Area
Robust wavefront sensing
Work centered on Shack-Hartmann wavefront sensing and reconstruction when optical measurements are noisy, distorted, or incomplete.
Methods
Image-to-wavefront workflow
Spot image denoising, centroid estimation, and signal-quality-aware least-squares reconstruction for computational optical sensing.
Application Context
Degraded optical conditions
Research contexts include strong turbulence, scintillation, low-SNR spot images, and adaptive optics correction workflows.
Current Focus
Confidence-aware reconstruction
Exploring how local measurement reliability can be represented in centroiding and SNR-weighted reconstruction pipelines.
Portfolio
Selected project directions
Research-oriented project areas are listed without paper, award, or repository claims that are not publicly verified.
WTCOG + SNR-WLS Wavefront Reconstruction
Weighted centroiding and signal-quality-aware reconstruction for Shack-Hartmann measurements.
Wavefront reconstructionCentroiding
SH-WFS Spot Image Denoising
Denoising workflows for degraded Shack-Hartmann spot images before centroid estimation.
DenoisingLow SNR
Adaptive Optics Closed-loop Experiment
Workflow-level integration of sensing, reconstruction, and optical correction.
Adaptive opticsExperiment
Academic profile
This site is intended as a personal academic homepage, research overview, CV entry point, and project portfolio for leizh1999.top. 中国科学院光学工程博士研究生，研究方向包括 Shack-Hartmann 波前传感、自适应光学与计算成像。
Contact and verified links