面向近眼显示的十字块压缩中心凹JND模型研究  

Cruciate Block Compression Foveated JND Model for Near⁃Eye Display

作　　者：孙严睿 季渊[1,2] Sun Yanrui;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》2024年第17期258-268,共11页Chinese Journal of Lasers

基　　金：国家自然科学基金(61774101)。

摘　　要：为有效解决微显示器分辨率日益提升与设备带宽有限之间的矛盾,结合硅基有机发光二极管(OLED)微显示器的数字扫描驱动方式,提出了一种基于十字块压缩中心凹最小可觉察差(CB-FJND)模型的多位平面压缩算法,并针对子场扫描法中动态假轮廓(DFC)的影响以及伽马校正的需要,设计了一种基于该算法可进行多子场配置的微显示器,在现场可编程门阵列(FPGA)平台上验证微显示器硬件框架的可行性。实验结果表明,所提出的算法可在保持图像平均压缩率低于40%的前提下保证图像主客观质量,降低传输数据量。Objective With the continued popularity of the meta-universe and the advancement of virtual reality(VR)technology,users are more eager to get a perfect immersive experience.People enter the meta-universe mainly through near-eye displays.In contrast,the advantages of silicon-based organic light-emitting diode(OLED)microdisplays such as high resolution,small size and light weight can greatly improve immersion experience.At the same time,digitally driven microdisplays have the advantages of low cost,low power consumption,high refresh rate and high contrast.However,current device bandwidths cannot support the amount of data that increases with resolution and refresh rate.In order to ensure the subjective and objective quality of the image while greatly reducing the amount of data transmission,efficient data compression technology is the key to the application.Methods In the digitally driven subfield scanning method of silicon microdisplay,the total display time of an image frame is often divided into several different integer or fractional subfields,and the application of just noticeable difference(JND)model to the data compression of fractional subfields has become the main direction of research.The traditional JND model is mainly inspired by the working mechanism of the human vision system,and uses the relevant characteristics of human vision to extract image features through design formulas,so as to construct the model.At present,the distortion introduced by JND model established by subjective experiment is usually additive noise such as white noise.The flat region with low image gradient is more affected by it,and the distortion is more perceptible.The distortion in the edge region with large gradient is difficult to detect.However,multiplicative noise occupies a larger proportion in actual coding,and the block effect has a greater influence on the edge region than the flat region.Therefore,we further consider the masking effect of stereovision,and design masking characteristics experiments of foveal and block ef

关 键 词：光学器件 视觉光学 人眼视觉特性 最小可觉察差 微显示器 位平面压缩 

分 类 号：TN27[电子电信—物理电子学]