Color Reproduction of Outdoor LED Displays with Compensation for Ambient Lighting Conditions
Outdoor LED Displays is the most used display technology in outdoors due to it high luminance output capabilities. In such case the observers eyes try to adapt to the ambient lighting surrounding the display which is continuously changing through the day. This result in the actual perceived adapted colors from the display suffer major discrepancies when compared to the target color in the displayed media. In this paper, we propose a model for the outdoor LED display that suffers from flares reflections. Then we modify the model based on the mixed chromatic adaptation model developed by the CIE TC8-4 committee. Next a reverse model is developed to predict new color values in order to appear matching to the original target colors. Finally, we evaluate the model performance and investigate the effect of varying model parameters trough psychophysical experiments.
Keywords: LED display, color appearance, chromatic adaptation, incomplete adaptation, mixed adaptation
Download Full-Text
ABOUT THE AUTHORS
Mohamed Abdellatif
Mohamed Abdellatif received the B.S. , M.S. and Ph.D. degrees in Computer and Systems Engineering from Faculty of Engineering, Al Azhar University, Egypt. He has worked as a lecturer in same university since 1999. His research interests are LED displays, color image processing, human visual system and computer vision.
Mohamed Y. Elnahas
Professor Computer and Systems Engineering Dept., Al Azhar university, Cairo, Egypt
Hassan Farahat
Professor Computer and Systems Engineering Dept., Al Azhar university, Cairo, Egypt
Ali Rashed
Professor Computer and Systems Engineering Dept., Al Azhar university, Cairo, Egypt
Mohamed Abdellatif
Mohamed Abdellatif received the B.S. , M.S. and Ph.D. degrees in Computer and Systems Engineering from Faculty of Engineering, Al Azhar University, Egypt. He has worked as a lecturer in same university since 1999. His research interests are LED displays, color image processing, human visual system and computer vision.
Mohamed Y. Elnahas
Professor Computer and Systems Engineering Dept., Al Azhar university, Cairo, Egypt
Hassan Farahat
Professor Computer and Systems Engineering Dept., Al Azhar university, Cairo, Egypt
Ali Rashed
Professor Computer and Systems Engineering Dept., Al Azhar university, Cairo, Egypt
