Literature DB >> 26479663

Approach to analytically minimize the LCD moiré by image-based particle swarm optimization.

Yu-Lin Tsai, Chung-Hao Tien.   

Abstract

In this paper, we proposed a methodology to optimize the parametric window of a liquid crystal display (LCD) system, whose visual performance was deteriorated by the pixel moiré arising in between multiple periodic structures. Conventional analysis and minimization of moiré patterns are limited by few parameters. With the proposed image-based particle swarm optimization (PSO), we enable a multivariable optimization at the same time. A series of experiments was conducted to validate the methodology. Due to its versatility, the proposed technique will certainly have a promising impact on the fast optimization in LCD design with more complex configuration.

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Year:  2015        PMID: 26479663     DOI: 10.1364/AO.54.000E41

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  1 in total

1.  Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization.

Authors:  Daizheng Huang; Zhihui Wu
Journal:  PLoS One       Date:  2017-02-21       Impact factor: 3.240

  1 in total

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