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Proceedings Paper

Error reduction in reconstruction of kinoform CGH patterns for a hologram ID tag system
Author(s): Hye-Rim Kim; Ki-Mun Pak; Ji-Song Lim; Yong-Hyub Won
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Paper Abstract

In this paper, we propose a hologram reconstruction algorithm with techniques which can effectively reduce reconstruction errors caused from reconstruction process and external damages of the kinoform CGH ID tag. The 11- level kinoform computer generated hologram (CGH) patterns which are generated by modified simulated annealing are recorded on a texture paper by a photo printer, and retrieved by a digital camera. Through suitable reconstruction program and image processing in computer, the captured hologram patterns on the ID tag are reconstructed with a low error rate of about 4%, compared to the original data prior to the kinoform CGH pattern. It is also shown that our robust reconstruction algorithm can considerably reduce reconstruction errors for damaged tags. The original image has been actually reconstructed at a low error rate of about 8% and 12% from a 25% and 50% damaged tag, respectively.

Paper Details

Date Published: 7 June 2010
PDF: 8 pages
Proc. SPIE 7730, Optical Data Storage 2010, 77301O (7 June 2010); doi: 10.1117/12.858951
Show Author Affiliations
Hye-Rim Kim, KAIST (Korea, Republic of)
Ki-Mun Pak, KAIST (Korea, Republic of)
Ji-Song Lim, KAIST (Korea, Republic of)
Yong-Hyub Won, KAIST (Korea, Republic of)


Published in SPIE Proceedings Vol. 7730:
Optical Data Storage 2010
Susanna Orlic; Ryuichi Katayama, Editor(s)

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