Add to BibSonomyAbstract
We introduce an efficient and robust algorithmic framework f or multi-wavelength phase retrieval that directly recovers the absolute phase, obviating the need of phase-unwrapping steps which are computationally expensive and sensitive to noise.
© 2023 The Author(s)
PDF Article | Presentation VideoMore Like This
Phase Wrapping in Phase Retrieval Caused by Camera Noise
Glen H. Daw and Richard C. Smith
TuA4 Signal Recovery and Synthesis (SRS) 1992
Physics aware semi-trained deep framework for phase retrieval in digital inline holography
Ashwini S Galande, Aswathy Vijay, Hanu Phani Ram Gurram, and Renu John
CTu5B.4 Computational Optical Sensing and Imaging (COSI) 2023
Multi-constrained Phase Retrieval for Lens-Free Inline holographic microscopy
Xia Hua, Cheng Yang, Beibei Xu, Feng Yan, and Xun Cao
JTh3B.2 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018