Robust three-frame coefficient-tuning iterative algorithm for accurate phase retrieval with random phase shifts
Year: 2026
Type: article
Abstract: Random phase-shifting algorithm is widely used in phase-shifting interferometry (PSI) to recover phase distributions under unknown phase shifts. However, the applicability of existing algorithms is constrained by various preconditions such as ideal background illumination, sufficient image acquisition volume, and adequate fringes in interferograms. This paper proposes a three-frame random phase retrieval method based on the coefficient-tuning iterative algorithm (CTIA), which is fast, stable and easy to implement. Compared to other existing high-precision phase-shifting algorithms, this method can achieve the accurate phase extraction from interferograms with background intensity and modulation fluctuations, and its accuracy is not constrained by the shape or number of fringes. Simulations and experiments both verify that the proposed algorithm provides an accurate and robust phase reconstruction tool for random three-frame PSI used in laser interferometric topography and roughness measurements.
Source: Optics and Lasers in Engineering
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,020
Funders: Ministry of Science and Technology of the People's Republic of China, General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, People's Government of Henan Province, Key Research and Development Program of Hunan Province of China, National Key Research and Development Program of China
Awards: G5343851617, G5411501207, G8429536273
OpenAlex ID: W7140506127
