DocumentCode :
2037041
Title :
Vector quantization for computer generated phase-shifting holograms
Author :
Yafei Xing ; Pesquet-Popescu, B. ; Dufaux, Frederic
Author_Institution :
Inst. Mines-Telecom, Telecom ParisTech, Paris, France
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
709
Lastpage :
713
Abstract :
Concerning the reconstruction quality, phase-shifting scheme has been proved to be efficient for digital holography. As a benefit from three differently phased reference waves, the reconstructed object image does no longer suffer from the zero-order image or twin image. In order to reduce the obvious storage and transmission burden brought in by extra holograms, in this paper, vector quantization (VQ) based on LGB algorithm (LBG-VQ) for computer generated phase-shifting holograms (CGPSHs) is proposed. The interference patterns at the hologram plane is generated by Fresnel transformation in phase-shifting digital holography (PSDH) scheme. Meanwhile, the performance of adaptive scalar quantization using Lloyd Max algorithm on effective holographic information is also investigated. Simulation results indicate that LBG-VQ outperforms adaptive scalar Lloyd Max quantization.
Keywords :
Fourier transforms; computer-generated holography; image reconstruction; interference suppression; phase shifting interferometry; vector quantisation; CGPSH; Fresnel transformation; LBG-VQ; LGB algorithm; PSDH scheme; adaptive scalar Lloyd Max quantization; computer generated phase shifting hologram; hologram plane; interference pattern; object image reconstruction quality; phase shifting digital holography; phased reference wave; storage burden reduction; transmission burden reduction; vector quantization; Computers; Holography; Image reconstruction; Interference; Laser beams; Quantization (signal); Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
Type :
conf
DOI :
10.1109/ACSSC.2013.6810375
Filename :
6810375
Link To Document :
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