基于双向预测插值的多维矢量鬼成像视频

doi:10.12068/j.issn.1005-3026.2022.07.004

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (7): 937-943.DOI: 10.12068/j.issn.1005-3026.2022.07.004

基于双向预测插值的多维矢量鬼成像视频

刘跃¹，桑爱军¹，宋立军²，王世刚¹

(1. 吉林大学通信工程学院，吉林长春130022； 2. 吉林工业职业技术学院，吉林省吉林市132013)

发布日期:2022-08-02
通讯作者: 刘跃
作者简介:刘跃(1994-)，男，吉林长春人，吉林大学硕士研究生；桑爱军(1973-)，女，山东莱州人，吉林大学教授，硕士生导师；宋立军(1971-)，男，吉林辽源人，吉林工业职业技术学院教授；王世刚(1962-)，男，吉林长春人，吉林大学教授，博士生导师.
基金资助:
吉林省自然科学基金资助项目(20200201295JC)；国家自然科学基金重点资助项目(61631009).

Multi-dimensional Vector Ghost Imaging Video Based on Bidirectional Predictive Interpolation

LIU Yue¹，SANG Ai-jun¹，SONG Li-jun²，WANG Shi-gang¹

1. College of Telecommunication Engineering， Jilin University， Changchun 130022， China；2. Jilin Vocational College of Industry and Technology， Jilin 132013， China.

Published:2022-08-02
Contact: SANG Ai-jun
About author:-
Supported by:
-

摘要/Abstract

摘要： 为了进一步提升运动物体鬼成像视频的质量，根据视频中每帧都具有相关性的特点，提出了一种基于双向预测插值的多维矢量鬼成像视频的实时成像算法.即运用具有能量集中特点的多维矢量Walsh变换，将总数一定的Walsh基图样分成更少的组，使每组的有效基图样翻倍，再分别作用于目标物体，重构后得到数量少但成像质量更好的隔帧图像，再通过双向预测插值得到中间帧.使用该算法作用于像素为64×64的目标物体，可在实时状态下实现运动物体鬼成像的视频.在采样数量和采样时间不变的情况下，可实现高质量重构，得到了品质更好的鬼成像视频.

关键词: 运动物体鬼成像；多维矢量变换；双向预测；插值；高质量重构

Abstract: To further improve the quality of moving object ghost image videos， a real-time imaging algorithm based on bidirectional predictive interpolation for multi-dimensional vector ghost image video is proposed according to the correlation characteristics between each frame in the video. That is to say， the multi-dimensional vector Walsh transform with energy concentration is used to divide a certain number of multi-dimensional Walsh basis patterns into fewer groups， doubling the effective basis patterns of each group， and then acting on the target object respectively. After reconstruction， the number of interframe images with better imaging quality is less， and then the intermediate frames are obtained by bidirectional predictive interpolation. Using this algorithm， the ghost image video of moving object can be realized in real time by acting on the object with 64×64 pixels. With the same sampling quantity and sampling time， high-quality reconstruction can be achieved and better quality ghost imaging video can be obtained.

Key words: ghost imaging of moving objects; multi-dimensional vector transformation; bidirectional prediction; interpolation; high quality reconstruction

中图分类号:

TN919.81

刘跃，桑爱军，宋立军，王世刚. 基于双向预测插值的多维矢量鬼成像视频[J]. 东北大学学报（自然科学版）, 2022, 43(7): 937-943.

LIU Yue，SANG Ai-jun，SONG Li-jun，WANG Shi-gang. Multi-dimensional Vector Ghost Imaging Video Based on Bidirectional Predictive Interpolation[J]. Journal of Northeastern University(Natural Science), 2022, 43(7): 937-943.

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基于双向预测插值的多维矢量鬼成像视频

Multi-dimensional Vector Ghost Imaging Video Based on Bidirectional Predictive Interpolation

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