Opt Lett. 2022 Nov 15;47(22):5965-5968. doi: 10.1364/OL.476707.
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.
多波长相位恢复为无透镜全息成像提供了一种有竞争力的解决方案，其具有低成本、紧凑设计和高速数据采集的特点。然而，相位缠绕的存在给迭代重建带来了独特的挑战，由此产生的算法通常存在通用性有限和计算复杂度增加的问题。在这里，我们提出了一种用于多波长相位恢复的投影折射率框架，该框架可以直接恢复物体的振幅和无缠绕相位。一般假设被线性化并集成到正向模型中。基于反问题公式，我们将物理约束和稀疏先验纳入其中，这确保了在噪声测量下的成像质量。我们使用三个颜色的 LED 在无透镜片上全息成像系统上进行了实验，演示了高质量的定量相位成像。
