Research On Low-power Display Algorithm Based On Contrast Enhancement For Organic Light Emitting Diode Displays

Organic Light Emitting Diode(OLED)display technology,which is widely applied in smart terminal devices such as smartphones,tablets and TVs,is regarded as the most competitive third-generation display technology due to the advantages of active light emission,high contrast,light and thin,fast response speed and good color effect.With the rapid growth of OLED application demand,the problem in energy consumption is prominent.It is necessary to limit the display power consumption of the screen for its crucial role in the entire device.Thus,reducing it can not only improve the battery life of the system,but also helps to extend the service life of the display screen.Scholars at home and abroad have conducted a lot of research on OLED low-power display,but many of the current low-power display technologies they found only involve the aspect of energy saving,neglecting the problem of image contrast reduction and poor visual effect after it.In addition,algorithms with better effects are difficult to be put into practice for the computational complexity,which makes it hard for algorithms to be transplant on the hardware equipment.In response to the above problems,this paper proposes an OLED lowpower display algorithm based on contrast enhancement,which aims to limit power consumption and improve image quality through image enhancement technology.The main contents of this article are as follows.(1)A low-power display algorithm based on contrast enhancement is proposed.This paper puts forward a dual histogram equalization algorithm with limited contrast.The algorithm divides the image into two sections,a high-brightness area and a low-brightness area.Each section performs a unique histogram equalization operation,so that the image can maintains the perceived brightness that is closer to the original image while enhancing the contrast.At the same time,in order to prevent the phenomenon of excessive enhancement,the algorithm uses the histogram cropping technique to limit the magnitude of contrast enhancement,making the enhanced image more natural.Secondly,the research on the working principle and power consumption model of OLED found that the power consumption of OLED display depends on the gray value of each pixel,and the high brightness area in the image plays a decisive role in the display power consumption.So two methods of local correction and global correction in the histogram mapping function are proposed for the limitation of OLED power consumption.Local correction is mainly responsible for compressing the pixel value of the high-brightness area of the image,while global correction is responsible for limiting the overall brightness value of the image.The algorithm has low complexity and good real-time performance,and easy to transplant in the hardware.(2)A low-power display algorithm based on video sequences is proposed.Due to the similarity between adjacent frames in the video sequence,it is not necessary to use a lowpower display algorithm based on contrast enhancement for each image in the video.Instead,a similarity detection method is used to make multiple phases Adjacent and similar image frames are mapped using the same mapping function,which saves the calculation of repeated calculations and greatly improves the efficiency of video energy saving.A similarity detection method based on structural similarity index is proposed to measure the similarity between video frames.The experimental results show that the similarity detection method in this paper accurately reflects the video scene change,and at the same time,the average time for processing a frame of image with low power consumption is shortened by nearly 1/4.Finally,an adaptive power consumption limit method is proposed to further explore the reasonable values of energy-saving parameters from the perspective of human visual characteristics.(3)Experimental verification and result analysis.This article compares the proposed algorithm with several other classic energy-saving algorithms from two aspects: objective index and subjective evaluation.The results show that the low-power display algorithm based on contrast enhancement proposed in this paper can better protect the contrast and detail information of the image and have better visual effects in the case of same energy saving rate.And it can meet the requirements of real-time processing of video images.