58 citations · 112 across the 10 of their papers we have counts for
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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…
Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks
Tingtian Li, Yuk-Hee Chan, Daniel P. K. Lun
When imaging through a semi-reflective medium such as glass, the reflection of another scene can often be found in the captured images. It degrades the quality of the images and af…
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…