.png){kind=icon}
Return
Iterative ghost imaging
.png){kind=icon}
PRE
AI
DOI：10.1364/OL.39.005150.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The recovered image in ghost imaging (GI) contains an error term when the number of measurements M is limited. By iteratively calculating the high-order error term, the iterative ghost imaging (IGI) approach reconstructs a better image, compared to one recovered using a traditional GI approach, without adding complexity. We first propose an experimental scheme, for which IGI can be realized, namely the narrowed point spread function and exponentially increased signal-to-noise ratio (SNR) are realized. The exponentially increasing SNR when implementing IGI results from the replacement of M with M-k. Thus, a perfect recovery of the unknown object is demonstrated with M slightly bigger than the number of speckles in a typical light field. Based on our theoretical framework from the angle of high-order correlation R-k, the two critical behaviors of the iterative coefficients a and the measurements M are derived and well explained. (C) 2014 Optical Society of America
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.3
Papers:
4.0W
Citations:
7.6W
Organization
No organization information available
Cited Papers
ShareSaveSlow Protein Conformational Dynamics from Multiple Experimental Structures: The Helix/Sheet Transition of Arc Repressor.png)
Structure
OAAI
StructureIF0
OAAIShareSaveShareSaveMidpoint conductance technology used in telecommunication stationary standby battery applications
PREAI
ShareSaveShareSaveShareSave
View more