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An intelligent distortion-detection algorithm for restoring data in a holographic data storage system

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Abstract

In a holographic data storage system (HDSS), misalignment of the optical components causes data distortion, including barrel, pincushion, and rotation distortion. Because holographic data storage systems are very sensitive, misalignment inevitably results in data distortion. It is important to acquire accurate distortion-free data from a HDSS system. This paper proposes an intelligent distortion-detection algorithm for restoring data in HDSSs. We used a fuzzy system and subtractive clustering algorithm to generate fuzzy rules for the detection algorithm. The proposed algorithm determines a value indicating how distorted the data image is. Using this algorithm, it is possible to compensate for data distortion. A simulation performed well using barrel, pincushion and rotation images.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2012658).

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Authors and Affiliations

  1. Department of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea

    Wooyoung Jeong, Sung-Yong Lim, Jae-Seong Lee & Hyunseok Yang

  2. Center for Information Storage Device, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea

    Jang Hyun Kim

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  1. Wooyoung Jeong
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  2. Jang Hyun Kim
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  3. Sung-Yong Lim
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  4. Jae-Seong Lee
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  5. Hyunseok Yang
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Correspondence to Hyunseok Yang.

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Jeong, W., Kim, J.H., Lim, SY. et al. An intelligent distortion-detection algorithm for restoring data in a holographic data storage system. Microsyst Technol 20, 1571–1578 (2014). https://doi.org/10.1007/s00542-014-2177-9

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  • DOI: https://doi.org/10.1007/s00542-014-2177-9

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