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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© 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
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