Optimal selection of sensors and LEDs for daylight reconstruction

Autor: Chin-chuan Wu, 吳錦銓
Rok vydání: 2008
Druh dokumentu: 學位論文 ; thesis
Popis: 97
The dissertation provides selection optimal sensors to reconstruct Daylight spectrum and optimal LEDs to create a dynamic daylight illuminant from average measurement 416 daylight spectra and difference between average daylight spectrum and daylight spectrum. In the selection optimal sensors, it selects 6 optimal sensors from 30 commercial sensors to reconstruct daylight spectrum. Using average daylight coefficient error and averaged daylight spectrum error selects 6 optimal sensors. The reduced computing from full search *416=247010400 to 43693 is difference 5652 times. The method will be faster to find optimal sensors than full search. Selecting optimal sensors recovery daylight method can be applied to signal reproduction such as surface or human face reflectance reconstruction in multispectral imaging. In selection optimal LEDs to create dynamic daylight illuminant finds 12 LEDs from average daylight spectrum, and uses the two indexes SRSE and AC/DC energy ratio or pruning process to select optimal LEDs. The most economic effect result only needs 6 LEDs and the color rendering index (CRI) of reconstructed daylight source >90. Using the 6 optimal LEDs buys commercial LEDs holding in a leadframe and micro process products pulse width modulation (PWM) to create dynamic daylight illuminant. Keyword: daylight, daylight spectrum, optimal sensor sets, LED, dynamic daylight illuminant
Databáze: Networked Digital Library of Theses & Dissertations