Imperial College London

Professor Daniel Elson

Faculty of MedicineDepartment of Surgery & Cancer

Professor of Surgical Imaging
 
 
 
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Contact

 

+44 (0)20 7594 1700daniel.elson Website CV

 
 
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Location

 

415 Bessemer BuildingBessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Song:2016:10.1364/BOE.7.000798,
author = {Song, L and Zhou, Z and Wang, X and Zhao, X and Elson, DS},
doi = {10.1364/BOE.7.000798},
journal = {Biomedical Optics Express},
pages = {798--809},
title = {Simulation of speckle patterns with pre-defined correlation distributions},
url = {http://dx.doi.org/10.1364/BOE.7.000798},
volume = {7},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - We put forward a method to easily generate a single or a sequence of fully developed speckle patterns with pre-defined correlation distribution by utilizing the principle of coherent imaging. The few-to-one mapping between the input correlation matrix and the correlation distribution between simulated speckle patterns is realized and there is a simple square relationship between the values of these two correlation coefficient sets. This method is demonstrated both theoretically and experimentally. The square relationship enables easy conversion from any desired correlation distribution. Since the input correlation distribution can be defined by a digital matrix or a gray-scale image acquired experimentally, this method provides a convenient way to simulate real speckle-related experiments and to evaluate data processing techniques.
AU - Song,L
AU - Zhou,Z
AU - Wang,X
AU - Zhao,X
AU - Elson,DS
DO - 10.1364/BOE.7.000798
EP - 809
PY - 2016///
SN - 2156-7085
SP - 798
TI - Simulation of speckle patterns with pre-defined correlation distributions
T2 - Biomedical Optics Express
UR - http://dx.doi.org/10.1364/BOE.7.000798
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000372039000007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/33584
VL - 7
ER -