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Color and luminance correction and calibration system for LED video screens


Color and luminance correction and calibration system for LED video screens

Al-Mulazem, Mohammad (2009) Color and luminance correction and calibration system for LED video screens. Masters thesis, Concordia University.

Text (application/pdf)
MR63154.pdf - Accepted Version


Recent years have seen a surge in the popularity of Light emitting diode (LED) video screens, which have come to be a critical part of how the world of show business and corporate events are seen by their audiences. LED video screens are bright, visually attractive, can stand severe weather conditions, and consume far less power than CRT technology. In LED screens technology, pixels are composed of three primary LED colors: red, green, and blue (RGB). Using the primary colored LEDs provide the ability to generate variety of color hues, saturations and values. However, the RGB LEDs in the screen's pixels have different luminance and color due to the LEDs themselves. These differences seriously destroy the white balance of the LED pixels and modules, and make the picture color aberration, blotchy and patchy. To overcome these problems, different techniques and methodologies has been proposed in the literature. The main drawbacks of these techniques are the cost-effectiveness in the sense they provide mediocre resolution. In this thesis, a new and cost-effective methodology and technique is proposed to correct the color and the luminance of LED video screens while maintaining a high quality and high resolution image display. Also, a new developed algorithm is proposed to fit different color and brightness calibration purposes. The proposed algorithm is based on the CIE Commission Internationale de l'Eclairage standards. The technique and methodology have been implemented, in collaboration with LSI SACO Technologies Inc., using fully automated robotic spectrometer system and achieved the targeted goals.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Al-Mulazem, Mohammad
Pagination:xv, 120 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Thesis Supervisor(s):Ait, Otmane
ID Code:976630
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:30
Last Modified:18 Jan 2018 17:42
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