基于非对称椭圆中心凹JND模型的硅基微显示器  

OLED-on-Silicon Micro-Display Based on Asymmetric Elliptical Foveated JND Model

作　　者：朱毅翀 季渊[1,2] Zhu Yichong;Ji Yuan(Microelectronics Research and Development Center,Shanghai University,Shanghai 200072,China;School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200072,China)

机构地区：[1]上海大学微电子研究与开发中心,上海200072 [2]上海大学机电工程与自动化学院,上海200072

出　　处：《中国激光》2023年第19期160-171,共12页Chinese Journal of Lasers

基　　金：国家自然科学基金(61774101)。

摘　　要：为解决高分辨率、高刷新率微显示器存在的传输数据量过大的问题,针对人眼视觉特性以及数字驱动硅基有机发光二极管(OLED)微显示器的扫描方式,提出基于非对称椭圆中心凹最小可觉差(JND)模型的位平面图像压缩算法,并针对该算法设计了相应的硅基微显示控制器,在现场可编程门阵列(FPGA)平台上验证算法的可行性。实验结果表明,与当前其他JND模型相比,该模型更加符合人眼视觉特性,基于该模型的位平面图像压缩算法能够在不影响人眼主观感受的前提下,对图像进行较大程度的压缩,图像平均压缩率可以达到39.573%,能够有效降低微显示器中的传输数据带宽。Objective Micro-display is an important interface connecting the real world and the metaverse world.Compared with other types of micro-displays,organic light emitting diode(OLED)on silicon micro-displays have the advantages of high resolution,high integration,low power consumption,small size,and light weight,and they have become the preferred choice of near-eye display devices.Compared with traditional OLEDs-on-silicon driven by analog signal,OLED-on-silicon micro-display driven by digital signal has obvious advantages in ultra-high-definition display.Driven by users’demand for immersive experience of virtual reality(VR)and other near-eye display devices,near-eye displays are developing towards high resolution and high frame rate.However,this brings the problem of excessive video data transmission to the micro-display system.In order to give users a higher definition and smoother near-eye display experience,it is urgent to propose an image compression algorithm for micro-displays to solve the problem of excessive video data transmission.Methods Since the lower 4 bit-planes of the 19-bit-plane image reflect the details of the image and are difficult to compress,justnoticeable difference(JND)theory is introduced.In recent years,scientific research has shown that the distribution of visual acuity is asymmetric in the whole fovea range,and the human visual system has horizontal-vertical anisotropy(HVA)and vertical-meridian asymmetry(VMA).To make the JND model more consistent with the characteristics of human vision,this paper carries out psychological experiments on the luminance,contrast and foveated masking characteristics of human vision,and constructs an asymmetric elliptical foveated JND(AE-FJND)model based on the experimental results.Combined with the JND model,a corresponding bit-plane image compression algorithm is proposed.The data of the lower 4 bit-planes are processed within the JND threshold range,and then all-bit-plane images are compressed.The algorithm can compress the image without affecting the su

关 键 词：光学器件 视觉光学 微显示器 人眼视觉特性 非对称中心凹最小可觉差 数据传输 

分 类 号：TN27[电子电信—物理电子学]