Physics-guided in-line holographic reconstruction via complex-valued multi-scale wavelet decomposition and...

Area of Science:

• Optics and Photonics
• Image Processing
• Computational Physics

Background:

• In-line holography offers compact quantitative phase imaging but suffers from twin-image interference and noise.
• Existing reconstruction methods struggle with accuracy and stability in complex scenarios.

Purpose of the Study:

• To develop a novel physics-constrained reconstruction framework for in-line holography.
• To address limitations of twin-image interference and noise sensitivity in quantitative phase imaging.

Main Methods:

• Utilized multi-scale wavelet decomposition with time-frequency priors for spectrum-adaptive modulation.
• Implemented a cross-frequency gated fusion mechanism for complex amplitude modulation.
• Employed a differentiable Huber-TV model for stable, physically interpretable variational phase constraints.

Main Results:

• Demonstrated significant improvements in phase fidelity through simulations and experiments.
• Achieved enhanced structural consistency in reconstructed holographic images.
• Validated the framework's effectiveness under complex imaging conditions.

Conclusions:

• The proposed physics-constrained framework provides a physically consistent and practical solution for in-line holographic reconstruction.
• The method effectively mitigates twin-image interference and noise sensitivity.
• Offers a robust approach for advanced quantitative phase imaging applications.