复杂动态场景全变分正则化GS相位恢复增强鬼成像方法
By employing the fully variational regularized GS phase retrieval method, combined with Walsh ghost imaging and angular spectral diffraction theory, the noise sensitivity and robustness issues of phase retrieval in complex scenes of ghost imaging technology are solved, achieving high-fidelity complex amplitude imaging, which is suitable for quantitative imaging in complex dynamic scenes.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN UNIVERSITY
- Filing Date
- 2026-05-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing ghost imaging techniques struggle to accurately acquire high-fidelity complex amplitude information in complex scenarios. In particular, phase retrieval methods are sensitive to noise and lack sufficient system complexity and robustness, limiting their quantitative application.
The fully variational regularized GS phase retrieval method is adopted, which combines two-dimensional Walsh ghost imaging reconstruction and angular spectrum diffraction theory. Through Fourier transform and gradient operation, noise is suppressed and the phase retrieval accuracy is improved, so as to realize complex amplitude imaging.
It effectively suppresses noise and phase artifacts, improves phase recovery accuracy and stability, and achieves high-fidelity complex amplitude imaging. It is suitable for quantitative imaging scenarios such as observation of transparent biological samples and three-dimensional morphology measurement, and has good robustness and computational efficiency.
Smart Images
Figure CN122199338B_ABST