Visual enhancement via reinforcement parameter learning for low backlighted display
Journal
SIGGRAPH Asia 2017 Technical Briefs, SA 2017
Date Issued
2017
Author(s)
Abstract
In this technical brief, we propose a system to enhance the image on low backlighted display in order to save electrical power for mobile devices. In addition to our brightness compensation, we also take human visual perception, such as just-noticeable difference(JND) and saliency, into account. To integrate these characteristics in a system, we need to adjust several parameters. Accordingly, we introduce our reinforcement parameter learning into the system. By taking actions and analyzing rewards, we can train these characteristic parameters off-line and test the image online. Experimental results show that our visual enhancement via reinforcement parameter learning outperforms the existing systems.
Type
conference paper