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A New Optimization Algorithm of Kinoforms Based on Simulated Annealing

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

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Abstract

A new optimization scheme based on Simulated Annealing (SA) is proposed for synthesizing the kinoforms. An initial kinoform is obtained by the Fourier transform of the input image with a random phase. The random phase distribution is then optimized by simulated annealing in order to reduce the variance of the spectrum. Compared with conventional SA-based method, in which optimization is performed to the kinoform, the proposed method can significantly improve the convergence and reduce the computation cost.

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Author information

Authors and Affiliations

  1. Department of Information and Communication Systems Engineering, Okinawa National College of Technology, 905 Henoko, Nago, Okinawa 905-2192, Japan

    Shinya Nozaki

  2. Ritsumeikan University, Kusatsu, Shiga 525-8577, Japan

    Yen-Wei Chen

  3. Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan

    Zensho Nakao

Authors
  1. Shinya Nozaki
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  2. Yen-Wei Chen
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  3. Zensho Nakao
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Editor information

Editors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Via Comelico 39/41, 20135, Milano, Italy

    Bruno Apolloni

  2. Centre for SMART Systems, School of Engineering, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Nozaki, S., Chen, YW., Nakao, Z. (2007). A New Optimization Algorithm of Kinoforms Based on Simulated Annealing. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_39

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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