Efficient and robust phase unwrapping algorithm based on unscented Kalman filter, the strategy of quantizing...

Area of Science:

• Signal Processing
• Image Analysis
• Computational Science

Background:

• Phase unwrapping is crucial for many imaging techniques.
• Existing algorithms face challenges with efficiency and error propagation.
• Robust and accurate phase unwrapping remains an active research area.

Purpose of the Study:

• To develop an efficient and robust phase unwrapping algorithm.
• To improve accuracy and reduce computational time in phase unwrapping.
• To address error propagation issues in phase unwrapping.

Main Methods:

• Combines an unscented Kalman filter (UKF) with path-guided map quantization.
• Utilizes pixel classification based on phase quality information.
• Incorporates a new phase quality map for robust path selection.

Main Results:

• The proposed method accelerates path searching and reduces unwrapping time.
• Pixel classification minimizes error propagation by reducing redundant path values.
• Simultaneous filtering and unwrapping achieved without information loss.

Conclusions:

• The algorithm demonstrates superior performance compared to existing methods.
• Achieves efficient and accurate phase unwrapping for synthetic and real data.
• Offers a robust solution for complex phase unwrapping challenges.