@article{Chen201461,
title = "An image-space energy-saving visualization scheme for \{OLED\} displays ",
journal = "Computers & Graphics ",
volume = "38",
number = "0",
pages = "61 - 68",
year = "2014",
note = "",
issn = "0097-8493",
doi = "http://dx.doi.org/10.1016/j.cag.2013.10.020",
url = "http://www.sciencedirect.com/science/article/pii/S0097849313001611",
author = "Haidong Chen and Ji Wang and Weifeng Chen and Huamin Qu and Wei Chen",
keywords = "Energy saving visualization",
keywords = "\{OLED\}",
keywords = "Image space",
keywords = "Illustrative visualization ",
abstract = "Abstract Current energy-saving color design approaches can be classified into two categories, namely, context-aware dimming and color remapping. The former darkens individual regions with respect to the user interactions, and the latter replaces the color set with a new color set that yields lower energy consumption. Both schemes have drawbacks: color dimming tends to cause loss of perceptual quality, and color remapping is an offline color design process. This paper introduces a novel saliency-guided color dimming scheme for \{OLED\} displays in both the context of 3D visualization and 2D visualization. The key idea is to eliminate undesired details while enhancing the visually salient features of each frame on-the-fly by leveraging the color and spatial information. A parallelizable image-space salient region detection algorithm is introduced to make the entire process GPU-friendly and real-time. We apply our approach on several representative visualization scenarios and conduct a preliminary user study. Experimental results demonstrate the effectiveness, efficiency, and quality of our approach. "
}