25 citations · 39 across the 4 of their papers we have counts for
4 papers
Multiple-level Green Noise Mask Design for Practical Fourier Phase Retrieval
Qiuliang Ye, Bingo Wing-Kuen Ling, Li-Wen Wang +1
Phase retrieval, a long-established challenge for recovering a complex-valued signal from its Fourier intensity measurements, has attracted significant interest because of its far-…
Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep Neural Network
Qiuliang Ye, Li-Wen Wang, Daniel Pak-Kong Lun
Phase retrieval (PR), a long-established challenge for recovering a complex-valued signal from its Fourier intensity-only measurements, has attracted considerable attention due to…
SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval
Qiuliang Ye, Li-Wen Wang, Daniel P. K. Lun
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. These approach…
Robust Phase Retrieval with Green Noise Binary Masks
Qiuliang Ye, Yuk-Hee Chan, Michael G. Somekh +1
Phase retrieval with pre-defined optical masks can provide extra constraint and thus achieve improved performance. The recent progress in optimization theory demonstrates the super…