Neural network implementation for an optical model of LCD backlight module

Chen-Jung Li; Yi-Chin Fang; Ming-Chia Cheng

doi:10.1117/12.797854

23 September 2008 Neural network implementation for an optical model of LCD backlight module

Chen-Jung Li, Yi-Chin Fang, Ming-Chia Cheng

Proceedings Volume 7103, Illumination Optics; 71030L (2008) https://doi.org/10.1117/12.797854
Event: Optical Systems Design, 2008, Glasgow, Scotland, United Kingdom

Abstract

This paper develops a design method of the prism pattern for a LCD light guide plate to improve the uniformity of its exiting light. Firstly, the LGP prism surface is divided into several equal regions. With the aid of ASAP simulation, this method uses the mean light flux of all regions as a reference value to adjust the distribution density of the prism pattern for each region. Then curve fitting is performed to provide a smoothly changing distribution density for further improve-ment of the exiting light uniformity. ASAP results demon-strate that illuminance uniformity for the study case is sub-stantially improved from 45% to 90.9% by using this design method.

Citation Download Citation

Chen-Jung Li, Yi-Chin Fang, and Ming-Chia Cheng "Neural network implementation for an optical model of LCD backlight module", Proc. SPIE 7103, Illumination Optics, 71030L (23 September 2008); https://doi.org/10.1117/12.797854

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