面向数字驱动近眼显示器的位平面压缩技术

季渊; 宋远胜; 陈远生; 陈文栋; 穆廷洲

doi:10.37188/CJLCD.2020-0236

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面向数字驱动近眼显示器的位平面压缩技术

图像处理 | 更新时间：2021-05-28

- 面向数字驱动近眼显示器的位平面压缩技术
- Bit-plane compression technology for digitally driven near-eye displays
- 液晶与显示 2021年36卷第6期页码：869-875
- 作者机构：
  
  上海大学微电子研究与开发中心, 上海 200444
- 作者简介：
  
  [ "季渊(1982-), 男, 上海人, 博士, 副研究员, 2012年于上海大学获得博士学位, 主要研究方向为有机发光微显示器、微电子与集成电路设计、多媒体嵌入式处理器与片上系统。E-mail:jiyuan@shu.edu.cn" ]
  [ "宋远胜(1996-), 男, 山东济宁人, 硕士研究生, 2018年于济南大学获得学士学位, 主要研究方向为微电子与集成电路设计。E-mail: ronnie_song@163.com" ]
- 基金信息：
  
  Supported by National Natural Science Foundation of China(61674100);Supported by National Natural Science Foundation of China(61774101);军民融合发展专项(2019-jmrh1-kj37)
- DOI：10.37188/CJLCD.2020-0236
  中图分类号： TN27
- 收稿日期：2020-09-12，
  
  修回日期：2020-11-15，
  
  纸质出版日期：2021-06
- 稿件说明：
移动端阅览
季渊, 宋远胜, 陈远生, 等. 面向数字驱动近眼显示器的位平面压缩技术[J]. 液晶与显示, 2021,36(6):869-875.

Yuan JI, Yuan-sheng SONG, Yuan-sheng CHEN, et al. Bit-plane compression technology for digitally driven near-eye displays[J]. Chinese journal of liquid crystals and displays, 2021, 36(6): 869-875.
季渊, 宋远胜, 陈远生, 等. 面向数字驱动近眼显示器的位平面压缩技术[J]. 液晶与显示, 2021,36(6):869-875. DOI： 10.37188/CJLCD.2020-0236.

Yuan JI, Yuan-sheng SONG, Yuan-sheng CHEN, et al. Bit-plane compression technology for digitally driven near-eye displays[J]. Chinese journal of liquid crystals and displays, 2021, 36(6): 869-875. DOI： 10.37188/CJLCD.2020-0236.

摘要

为提升用户体验，近眼显示设备应轻量化且具备高分辨率和高刷新率，传统视频压缩方案难以满足需求。针对这一问题，本文将运动估计应用于位平面压缩，将恰可察失真映射至位平面以指导运动估计的匹配准则。同时，从虚拟现实领域中数字驱动微显示器的应用场景出发，使运动估计的搜索范围根据刷新率自适应。最后，结合人眼临界频率与位平面的关系，设定匹配阈值进一步消除冗余。本文提出了一种基于位平面运动估计的视频压缩方案，以此设计数字驱动微显示器控制器并搭建系统验证设计。实验结果表明，该方案平均压缩比为9.328 8，压缩效率较高。解码后的图片平均峰值信噪比为22.810 3 dB，结构相似度为0.946 6，恰可察失真到位平面的映射有效，图片质量和渲染效果良好，符合人眼的直观感受。

Abstract

In order to improve the user experience

near-eye display devices should be lightweight and have high resolution and high refresh rate

which is difficult for traditional video compression solutions. To solve this problem

this paper applies the motion estimation to bit-plane compression

and maps just noticeable difference to the bit-plane to guide the matching criterion of motion estimation. At the same time

starting from the application scenarios of digitally driven microdisplays in the field of virtual reality

the search range of motion estimation is adapted according to the refresh rate. Finally

combining the relationship between the critical frequency of the human eye and the bit plane

a matching threshold is set to further eliminate redundancy. This paper presents a video compression scheme based on bit-plane motion estimation

designs a digitally driven microdisplay controller and builds a system verification design. Experimental results show that the average compression ratio of this scheme is 9.328 8

the compression efficiency is high. The average peak signal-to-noise ratio of the decoded picture is 22.810 3 dB

and the structural similarity is 0.946 6. It can be seen that the mapping of the distortion to the bit plane is effective

and the picture quality and rendering effect are good

in line with the intuitive experience of the human eye.

关键词

Keywords

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