Fast digital image stabilization based on characteristic peak of projection matching

ZHANG Yan-chao; WANG Fang; ZHAO Jian; LIU Jian-zhuo; WANG Fei; SUN Qiang

doi:10.3788/OPE.20152306.1768

您当前的位置：

首页 >

文章列表页 >

Fast digital image stabilization based on characteristic peak of projection matching

更新时间：2020-08-13

- Fast digital image stabilization based on characteristic peak of projection matching
- Optics and Precision Engineering Vol. 23, Issue 6, Pages: 1768-1773(2015)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
  3. 总装备部工程兵科研一所,江苏无锡,214035
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152306.1768
  CLC： TP391
- Received：20 June 2014，
  
  Revised：05 August 2014，
  
  Published：25 June 2015
- 稿件说明：
移动端阅览
张艳超, 王芳, 赵建等. 投影特征峰匹配的快速电子稳像[J]. 光学精密工程, 2015,23(6): 1768-1773

ZHANG Yan-chao, WANG Fang, ZHAO Jian etc. Fast digital image stabilization based on characteristic peak of projection matching[J]. Editorial Office of Optics and Precision Engineering, 2015,23(6): 1768-1773
张艳超, 王芳, 赵建等. 投影特征峰匹配的快速电子稳像[J]. 光学精密工程, 2015,23(6): 1768-1773 DOI： 10.3788/OPE.20152306.1768.

ZHANG Yan-chao, WANG Fang, ZHAO Jian etc. Fast digital image stabilization based on characteristic peak of projection matching[J]. Editorial Office of Optics and Precision Engineering, 2015,23(6): 1768-1773 DOI： 10.3788/OPE.20152306.1768.

摘要

提出了一种基于投影最大特征峰匹配的稳像算法来进一步提高灰度投影稳像算法的实时性.首先

将参考帧与当前帧图像等分为若干区域子块

根据灰度投影计算公式分别计算每个子块的水平投影和垂直投影;依次计算两帧图像相应子块中对应的垂直和水平投影最大特征峰的位置差值

作为相应子块的水平和垂直运动矢量.然后

根据帧间运动矢量变化程度进行运动矢量修正.最后

根据各子块的运动矢量统计结果进行全局运动估计.将该最大特征峰匹配算法运用到多光谱成像系统进行实验

并与较经典的灰度投影算法做了比较.结果表明:在保证相同的稳像效果前提下

对于分辨率为1 024 pixel×1 024 pixel的图像序列在(-60

60)搜索范围内进行运动估计时

前者比后者的运算时间节省了近20%.提出的算法突破了现有投影稳像算法需要对可能的区域逐一搜索的繁琐匹配过程

具有较好的实时性和良好的稳像效果.

Abstract

A new image stabilization algorithm based on the characteristic peak of projection matching was proposed to improve the real-time characteristics of gray projection image stabilization method. Firstly

the reference frame and the current frame were divided into several sub image blocks

and the horizontal projection and vertical projection of each sub image block were calculated according to the projection calculation formula. Then

the horizontal and vertical position differences of the corresponding sub blocks' maximal projection characteristic peaks were calculated as motion vectors

and the motion vectors were corrected according to the motion vector variance ratio between frame and frame. Finally

the global motion vectors were derived based on the sub motion vectors. The proposed algorithm based on the characteristic peak of projection matching was used in a multi-spectral imager and obtained results were compared with that of the traditional gray projection image stabilization method.The experimental results show that new algorithm has saved nearly 20% time as compared with that of the traditional one for 1 024 pixel×1 024 pixel resolution image sequence and the (-60

60) regions of search. It does not have complex match processing that traditional method has to research the image projection area one by one

and can offer good real-time performance and stabilization effect.

关键词

Keywords

references

韩绍坤,赵跃进,刘明奇. 电子稳像技术及其发展[J]. 光学技术,2001,27(1):71-73. HAN SH K, ZHAO Y J, LIU M Q. Electronic image stabilization techniques and development [J]. Optical Technique, 2001, 27(1): 71-73.(in Chinese)

遆晓光,靳万鑫,余颖. 大运动前景和旋转抖动视频的快速数字稳定[J]. 光学精密工程,2014,22(1):177-185. DI X G, JIN W X, YU Y. Digital video stabilization for large-scale moving foreground object and rotation jitter [J]. Opt. Precision Eng., 2014, 22(1): 177-185. (in Chinese)

马忠丽,李慧凤,文杰,等. 高速水面艇视觉系统电子稳像算法[J]. 计算机应用研究,2014,31(2):633-636. MA ZH L, LI H F,WEN J,et al.. Electronic image stabilization algorithm for high speed surface vehicle vision system [J]. Application Research of Computers, 2014,31(2):633-636. (in Chinese)

吴浩,邓宏彬,何少阳. 基于分块灰度投影的无人飞行器视频稳像方法[J]. 北京理工大学学报,2013,33(4):385-389. WU H, DENG H B, HE SH Y. A UAV video stabilization method based on sub-block gray projection [J]. Transactions of Beijing Institute of Technology, 2013, 33(4): 385-389. (in Chinese)

王志民,徐晓刚. 电子稳像技术综述[J]. 中国图象图形学报,2010,15(3):470-480. WANG ZH M, XU X G. A survey on electronic image stabilization [J].Journal of Image and Graphics, 2010, 15(3): 470-480. (in Chinese)

王灿进,孙涛,陈娟. 局部不变特征匹配的并行加速技术研究[J]. 液晶与显示,2014,29(2):266-274. WANG C J, SUN T, CHEN J. Speeding up local invariant feature matching using parallel technology [J].Chinese Journal of Liquid Crystals and Displays, 2014, 29(2): 266-274.(in Chinese)

刘博超,赵建,孙强. 基于边缘改进的Harris角点检测方法[J]. 液晶与显示,2013,28(6):939-942. LIU B CH, ZHAO J, SUN Q. Improved Harris corner detection method based on edge [J]. Chinese Journal of Crystals and Displays, 2013, 28(6): 939-942. (in Chinese)

周亚军,王翔,苏享,等. 快速灰度投影稳像算法研究[J]. 兵工自动化,2009, 28(8):88-90. ZHOU Y J, WANG X, SU X,et al.. Research on fast gray projection algorithm for image stabilization [J].Ordnance Industry Automation, 2009, 28(8): 88-90. (in Chinese)

孙辉. 快速灰度投影算法及其在电子稳像中的应用[J]. 光学精密工程,2007,15(3):412-416. SUN H. Fast gray projection algorithm and its application to electronic image stabilization [J]. Opt. Precision Eng., 2007, 15(3): 412-416. (in Chinese)

赵志强,陈盈. 一种基于灰度投影与块匹配的视频序列快速稳像算法[J]. 光电工程,2011,38(6):146-150. ZHAO ZH Q, CHEN Y. A fast electronic image stabilization algorithm of video sequences based on gray projection and block matching [J]. Opto-Electronic Engineering, 2011, 38(6): 146-150. (in Chinese)

赵红颖,金宏,熊经武. 电子稳像技术概述[J]. 光学精密工程,2001,9(4):353-359. ZHAO H Y, JIN H, XIONG J W. Overview of the electronic image stabilization technology [J]. Opt. Precision Eng., 2001, 9(4): 353-359. (in Chinese)

Views

485

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Digital video stabilization for large-scale moving foreground object and rotation jitter

Real-time full-frame digital image stabilization system by SURF

Vibration parameter detection of space camera by taking advantage of CMOS self-correlation Imaging of plane array of roller shutter

Feature matching electronic image stabilization based on binary robust invariant scalable keypionts

Electronic image stabilization for Bayer color video sequence image

Related Author

YU Ying

JIN Wan-xin

DI Xiao-guang

FENG Liang

WANG Ping

XU Ting-fa

ZHANG Kun

SUN Xue-chen

Related Institution

Science and Technology Institute on Space Physics

Control and Simulation Center, Harbin Institute of Technology

School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, China

Key Laboratory of Photoelectronic Imaging Technology and System of the Ministry of Education of China, Beijing Institute of Technology, Beijing 100081, China

Department of Missile Engineering, Ordnance Engineering College

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰