Design of a digital image mask for intensity control of holographic data storage system using neural network

Sang Hoon Kim, Hyunseok Yang, Young Pil Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Holographic data storage uses two dimensional page unit data. Because it uses a wide plane wave for large data area, the light can be distorted or affected by a noise. If intensity of the light for carrying a data in signal arm is controlled, we can store and reconstruct a better data page excluding some distortions and noises. A digital image mask is designed using back propagation algorithm of neural network to control the intensity distribution of the light for signal beam. In the simulation, the reconstructed data page with less error pixels are obtained in spite of an IPI noise.

Original languageEnglish
Title of host publication2008 International Conference on Control, Automation and Systems, ICCAS 2008
Pages84-87
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 International Conference on Control, Automation and Systems, ICCAS 2008 - Seoul, Korea, Republic of
Duration: 2008 Oct 142008 Oct 17

Publication series

Name2008 International Conference on Control, Automation and Systems, ICCAS 2008

Other

Other2008 International Conference on Control, Automation and Systems, ICCAS 2008
CountryKorea, Republic of
CitySeoul
Period08/10/1408/10/17

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Kim, S. H., Yang, H., & Park, Y. P. (2008). Design of a digital image mask for intensity control of holographic data storage system using neural network. In 2008 International Conference on Control, Automation and Systems, ICCAS 2008 (pp. 84-87). [4694531] (2008 International Conference on Control, Automation and Systems, ICCAS 2008). https://doi.org/10.1109/ICCAS.2008.4694531