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Making Image More Energy Efficient for OLED Smart Devices

机译:为OLED智能设备制作图像更节能

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摘要

Now, more and more mobile smart devices are emerging massively; energy consumption of these devices has become an important consideration due to the limitation of battery capacity. Displays are the dominant energy consuming component of battery-operated devices, giving rise to organic light-emitting diode (OLED) as a new promising display technology, which consumes different power when displaying different content due to their emissive nature. Based on this property, we propose an approach to improve image energy efficiency on OLED displays by perceiving image content. The key idea of our approach is to eliminate undesired details while preserving the region of interest of the image by leveraging the color and spatial information. First, we use edge detection algorithm to extract region of interest (ROI) of an image. Next, we gradually change luminance and saturation of region of noninterest (NON-ROI) of the image. Then we perform detailed experiment and case study to validate our approach; experiment results show that our approach can save 22.5% energy on average while preserving high quality of the image.
机译:现在,越来越多的移动智能设备的大量涌现;这些设备中的能量消耗已经成为一个重要的考虑因电池容量的限制。显示器是主要的能量消耗电池供电的设备的组件,从而产生有机发光二极管(OLED)作为一种新的有希望的显示技术,显示不同的内容时,其消耗功率不同,由于其发射性的性质。基于这一特性,我们提出了一种方法,通过感知图像内容,以提高对OLED显示屏的图像能源效率。我们的方法的核心思想是消除不需要的细节,同时通过利用颜色和空间信息保存的图像的感兴趣区域。首先,我们使用边缘检测算法来的图像的关注区域(ROI)提取区域。接下来,我们逐渐改变图像的亮度和非利息(非ROI)的区域的饱和度。然后我们进行详细的实验和案例研究,以验证我们的方法;实验结果表明,我们的方法可以节省平均22.5%的能量,同时保持图像的高品质。

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