Coherent imaging through a random screen

1990 ◽  
Author(s):  
Theo Mavroidis ◽  
Christopher Dainty
Keyword(s):  
Coherent Imaging ◽  
Random Screen

Coherent Imaging Through a Random Screen

1993 ◽  
Vol 40 (9) ◽  
pp. 1653-1656 ◽  
Author(s):  
C.J. Solomon ◽  
J.C. Dainty
Keyword(s):  
Coherent Imaging ◽  
Random Screen

Time-resolved coherent imaging of a THz multilayer response

2009 ◽  
Vol 26 (8) ◽  
pp. 1649 ◽  
Author(s):  
P. Peier ◽  
S. Pilz ◽  
T. Feurer
Keyword(s):  
Coherent Imaging ◽  
Time Resolved

Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays

2021 ◽  
Author(s):  
Jani Makinen ◽  
Erdem Sahin ◽  
Ugur Akpinar ◽  
Atanas Gotchev
Keyword(s):  
Coherent Imaging

scholarly journals Coherent imaging spectroscopy of a quantum many-body spin system

Science ◽  
2014 ◽  
Vol 345 (6195) ◽  
pp. 430-433 ◽  
Author(s):  
C. Senko ◽  
J. Smith ◽  
P. Richerme ◽  
A. Lee ◽  
W. C. Campbell ◽  
...  
Keyword(s):  
Spin System ◽  
Imaging Spectroscopy ◽  
Many Body ◽  
Coherent Imaging

scholarly journals Sub-Diffraction Visible Imaging Using Macroscopic Fourier Ptychography and Regularization by Denoising

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3154 ◽  
Author(s):  
Zhixin Li ◽  
Desheng Wen ◽  
Zongxi Song ◽  
Gang Liu ◽  
Weikang Zhang ◽  
...  
Keyword(s):  
Phase Retrieval ◽  
State Of The Art ◽  
Imaging Technique ◽  
Speckle Noise ◽  
Laser Speckle ◽  
Coherent Imaging ◽  
Quantitative Metrics ◽  
Visible Imaging ◽  
Flow Algorithm ◽  
Diffraction Imaging

Imaging past the diffraction limit is of significance to an optical system. Fourier ptychography (FP) is a novel coherent imaging technique that can achieve this goal and it is widely used in microscopic imaging. Most phase retrieval algorithms for FP reconstruction are based on Gaussian measurements which cannot extend straightforwardly to long range, sub-diffraction imaging setup because of laser speckle noise corruption. In this work, a new FP reconstruction framework is proposed for macroscopic visible imaging. When compared with existing research, the reweighted amplitude flow algorithm is adopted for better signal modeling, and the Regularization by Denoising (RED) scheme is introduced to reduce the effects of speckle. Experiments demonstrate that the proposed method can obtain state-of-the-art recovered results on both visual and quantitative metrics without increasing computation cost, and it is flexible for real imaging applications.

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