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September 28, 2025Open Access

Fast phase unwrapping via nonconvex regularization and tail-minimization

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Authors

KLKexin LiHCHuibin ChangZCZhangling Chen

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Overview

Variational regularization methods enhance phase unwrapping performance, indicating superior stability and efficiency.

Key Points

  • The proposed algorithm achieves significantly improved signal-to-noise ratio in phase unwrapping results.
  • Tail-minimization optimally reduces cumulative errors during phase estimation, enhancing computational efficiency.
  • A novel variational model incorporates both non-convex and total variation regularization for physical consistency.
  • Numerical results demonstrate the algorithm's superior performance compared to existing iterative phase unwrapping methods.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68d90a0f41e1c178a14f6c8ehttps://doi.org/10.21203/rs.3.rs-7250729/v1
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