15‐1: Novel Multi‐Frequency Driving of OLED for Low Power Consumption

Abstract

In a recent, OLED display has been required to larger and higher resolution by the years. So, display image quality and power consumption are getting important. It is necessary to reduce power consumption to increase battery usage time. Low frequency driving is the significant factor for long‐term use. We can operate low frequency driving using oxide TFT with small leakage current. However, the low frequency driving operates when the entire screen is a still image. To improve power consumption, we propose Multi‐Frequency Driving (MFD) technology. MFD is a technology that divides moving and still image areas in full screen display and drives them at different frame frequency. In this paper, we suggest what MFD technology is and how to implement the OLED driving system. And then we show how much it can improve power consumption for OLED.

39‐4: An Innovative Decoder‐type GOA for Intelligent Split‐Screen and External Compensation Technology

“…The test results show that the decoder type Goa can control each partition independently. driving effect of the panel through the decoder-type goa [3]. Fig.…”

Review of Integrated Gate Driver Circuits in Active Matrix Thin-Film Transistor Display Panels

“…To tackle this trade-off, the adaptive control schemes have been employed to adjust the display refresh rate depending on the moving image characteristics. These schemes, that are called a variable refresh rate (VRR), increase the refresh rate for fast moving images and decrease it for slow moving or still images [130][131][132][133][134]. Usually, VRR displays are implemented by changing the vertical blank length with the fixed scanning time of the active pixel area during the target frame time.…”

5‐1: Adaptive Luminance Display Technology based on Neural Network

“…With its advantages of high contrast, wide color gamut, and fast response, more and more screens deliver an superior visual experience to users. However, despite their impressive image quality, screens face a significant challenge in the form of high power consumption[1] [2].This paper mainly explores the method improving the contrast of the image to get better display effect. Through the neural network apply, the visual effect and user experience of the screen are maintained, and the display screen can be processed in real time in the SoC(System On Chip).…”