Abstract
Multi-wavelength phase retrieval provides a competitive solution to lensless holographic imaging that features a low-cost, compact design and high data acquisition speed. However, the existence of phase wraps poses a unique challenge for iterative reconstruction, and the resulting algorithms often suffer from limited generalizability and increased computational complexity. Here, we propose a projected refractive index framework for multi-wavelength phase retrieval that directly recovers the amplitude and unwrapped phase of the object. General assumptions are linearized and integrated into the forward model. Based on an inverse problem formulation, physical constraints and sparsity priors are incorporated, which ensures imaging quality under noisy measurements. We experimentally demonstrate high-quality quantitative phase imaging on a lensless on-chip holographic imaging system using three color LEDs.
© 2022 Optica Publishing Group
Full Article | PDF ArticleMore Like This
Felix Wittwer, Johannes Hagemann, Dennis Brückner, Silja Flenner, and Christian G. Schroer
Optica 9(3) 295-302 (2022)
Erik Malm, Edwin Fohtung, and Anders Mikkelsen
Opt. Lett. 46(1) 13-16 (2021)
Fangzhi Li, Yuqing Zhao, Shuo Han, Dongjiang Ji, Yimin Li, Mengting Zheng, Wenjuan Lv, Jianbo Jian, Xinyan Zhao, and Chunhong Hu
Opt. Lett. 47(16) 4259-4262 (2022)