Making Image More Energy Efficient for OLED Smart Devices

Abstract

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.

Technologies based on energy savings for OLED devices

“…By using the proposed method of adjusting luminance & saturation (ALS) and comparing it with the other two methods which are adjusting luminance (AL) and adjusting saturation (AS) in terms of power consumption, the best method selected for future usage. The previous methods applied to (Seagull) photos [8]. The result shows in Figure 7.…”

“…So, when adjusting the saturation value of the photo, it means that the values of the components that consuming higher power will be reduced and the bright image will be dimmed as well. The method's name is Adjusting Luminance & Saturation (ALS) [8]. For videos and mobile games, the darkening method is a good technique to be implemented in order to save more energy [28,29].…”

“…The display model was selected to be the a OLED-32028-P1 AMOLED (P1 Active Matrix Organic Light Emitting Diode) with a power meter of HOIKI 3334. The resulted photo after implementing the three methods illustrates the differences between each of them in a visual way [8]. When using adjust luminance method, the power reduced by a percentage of 26.68% in (b) case.…”

“…The advantage of OLED displays is that each pixel emits light by itself without needing a backlight, unlike LCDs. Therefore, it easier to save power consumed by turning off the unnecessary pixel according to the displayed image or video as every pixel emits the green, red and blue color [8,9]. According to Dong and Zhong, the power consumption is low in black color and highest in white color [10,11].…”

“…One of the methods is depending on the power-constrained contrast enhancement (PCCE) implemented by using one of deep learning algorithms [15]. Another method is by darkening the image by reducing the luminance of some pixels according to the displayed image on OLED display, in other words, remapping the colors of the image [8]. One more method depended on the dark scheme which generates a part of black color on OLED screen with a specific percentage [16].…”