Fast modal broadband phase retrieval via spatial-spectral compression
Year: 2025
Type: article
Abstract: Broadband phase retrieval technology overcomes the limitations of light sources, offering a highly flexible and versatile method for wavefront measurement. To address the challenge of repetitive multi-wavelength forward propagation, we propose a joint spatial-spectral compression model. This method utilizes Zernike orthogonal basis modes to fit the complex amplitude of the pupil, with complex polynomial coefficients expanded along the spectral dimension. Leveraging the linear nature of diffraction propagation, the point spread function is represented as a weighted sum of propagated Zernike mode fields at different wavelengths. The weights are determined by a spectral basis coefficient matrix, whose dimensionality is independent of the number of wavelengths. In the diffraction model, the Zernike-mode propagation responses are spatially separable and invariant across iterations, enabling precomputation and caching. This eliminates the repeated Fourier propagations required in conventional phase retrieval technology, markedly improving computational efficiency while preserving reconstruction accuracy. This strategy provides an effective modeling and reconstruction framework for broadband phase retrieval.
Source: Optics Express
DOI: 10.1364/oe.579967
Authors: Yuejia Li, Yuqi Shao, Runzhou Shi, Jian Bai
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,270
Award: G2803718689
OpenAlex ID: W7108440480