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Found 4 papers, 1 papers with code
Robust Phase Retrieval with Green Noise Binary Masks
Phase retrieval with pre-defined optical masks can provide extra constraint and thus achieve improved performance.
SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval
With the success of deep learning methods in many image processing tasks, deep learning approaches have also been introduced to the phase retrieval problem recently.
Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep Neural Network
The results demonstrate the superiority and practicality of the proposed PPRNet over the traditional learning-based PR methods.
Multiple-level Green Noise Mask Design for Practical Fourier Phase Retrieval
This paper proposes a two-stage optimization algorithm to generate multi-level random masks named $\textit{OptMask}$ that can also significantly reduce high-frequency components in the measurements but achieve higher accuracy than the binary masking scheme.
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