DocumentCode :
522728
Title :
3D Wave field phase retrieval from multi-plane observations
Author :
Migukin, Artem ; Katkovnik, Vladimir ; Astola, Jaakko
Author_Institution :
Dept. of Signal Process., Tampere Univ. of Technol. (TUT), Tampere, Finland
fYear :
2010
fDate :
7-9 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
We reconstruct a spatially distributed three-dimensional (3D) wave field from a number of intensity observations, obtained in different sensor planes, parallel to the object plane. The proposed algorithm can be treated as a multiple plane iterative Gerchberg-Saxton algorithm [1]. It is obtained from the best linear estimate of the complex-valued object distribution derived for the complex-valued observations. This estimator is modified for the intensity measurements in the sensor planes. The algorithm is studied by numerical experiments performed for amplitude and phase object distributions. It is shown that the proposed method allows reconstructing the whole 3D wave fields for different setup parameters. This technique can be applied for 3D imaging. The comparison versus the successive iterative method [2] shows an accuracy advantage of the proposed algorithm provided that the type of modulation in the object plane is known.
Keywords :
computational electromagnetics; electromagnetic wave propagation; image reconstruction; image retrieval; information retrieval; 3D imaging; 3D wave field phase retrieval; complex-valued object distribution; iterative method; multiple plane iterative Gerchberg-Saxton algorithm; sensor planes; Holography; Image reconstruction; Iterative algorithms; Iterative methods; Optical imaging; Optical interferometry; Optical scattering; Phase measurement; Reconstruction algorithms; Signal processing algorithms; Imaging; holography; information retrieval; inverse problems; iterative methods; phase estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2010
Conference_Location :
Tampere
Print_ISBN :
978-1-4244-6377-0
Electronic_ISBN :
978-1-4244-6378-7
Type :
conf
DOI :
10.1109/3DTV.2010.5506340
Filename :
5506340
Link To Document :
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