留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于伯努利采样的高速摄像机图像实时压缩

王斌 梁杰 王盼 顾正华 盖文

王 斌,梁 杰,王 盼,等. 基于伯努利采样的高速摄像机图像实时压缩[J]. 实验流体力学,2021,35(6):52-57 doi: 10.11729/syltlx20200052
引用本文: 王 斌,梁 杰,王 盼,等. 基于伯努利采样的高速摄像机图像实时压缩[J]. 实验流体力学,2021,35(6):52-57 doi: 10.11729/syltlx20200052
WANG B,LIANG J,WANG P,et al. A Bernoulli sampling based image real-time compression method for high-speed camera[J]. Journal of Experiments in Fluid Mechanics, 2021,35(6):52-57. doi: 10.11729/syltlx20200052
Citation: WANG B,LIANG J,WANG P,et al. A Bernoulli sampling based image real-time compression method for high-speed camera[J]. Journal of Experiments in Fluid Mechanics, 2021,35(6):52-57. doi: 10.11729/syltlx20200052

基于伯努利采样的高速摄像机图像实时压缩

doi: 10.11729/syltlx20200052
基金项目: 国家自然科学基金(11602292,61801479)
详细信息
    作者简介:

    王斌:(1983–),男,四川绵阳人,博士,副研究员。研究方向:风洞测试,视觉测量,图像处理,人工智能。通信地址:四川省绵阳市涪城区二环路南段6号12信箱3号分箱(621000)。 E-mail:nudtwangbin@163.com

    通讯作者:

    E-mail:549816386@qq.com

  • 中图分类号: V211.7

A Bernoulli sampling based image real-time compression method for high-speed camera

  • 摘要: 高速摄像机被广泛应用于爆炸力学、流体力学、弹道观测等科研试验中。受电子系统存储带宽和容量限制,高速摄像机无法实现长时间拍摄。对拍摄图像进行压缩是延长高速摄相机拍摄时长的有效方法。然而,现有图像压缩方法因计算复杂度高、时间长,无法满足高速摄相机海量图像压缩需求。为此,提出一种低硬件成本的实时图像压缩方法:采用伯努利采样方法,在CCD或CMOS成像过程中,随机采样部分像素得到压缩图像;再通过未知像素估计算法重建压缩图像。模拟测试结果表明:当图像压缩率达到99%时,从重建图像中仍能观察到图像主要视觉信息,优于TOM拍摄图像的插值放大结果。
  • 图  1  单像素相机及成像结果[9]

    Figure  1.  Single pixel camera and its imaging result[9]

    图  2  图像伯努利采样与重建效果示例

    Figure  2.  Image Bernoulli sampling and reconstruction effect example

    图  3  伯努利采样图像压缩及图像重构算法流程

    Figure  3.  The framework of image compression with Bernoulli sampling and image reconstruction

    图  4  Image 2试验结果

    Figure  4.  Experimental results of image 2

    图  5  PSNR、SSIM定量分析结果

    Figure  5.  The quantity comparison results of PSNR and SSIM

    图  6  与单像素相机压缩成像结果对比

    Figure  6.  Comparison results with single pixel camera

  • [1] 宗思光,王江安,蒋兴舟,等. 水中激光击穿空泡的高速摄影研究[J]. 光子学报,2009,38(6):1543-1547.

    ZONG S G,WANG J A,JIANG X Z,et al. Experiment investigation of characters of bubble impulsion by optical breakdown[J]. Acta Photonica Sinica,2009,38(6):1543-1547.
    [2] 刘涛,王江安,宗思光,等. 激光空泡在近自由液面运动特性的实验研究[J]. 光学学报,2012,32(7):0714003. doi: 10.3788/aos201232.0714003

    LIU T,WANG J A,ZONG S G,et al. Experimental study of laser-generated cavitation bubble motion near a free liquid surface[J]. Acta Optica Sinica,2012,32(7):0714003. doi: 10.3788/aos201232.0714003
    [3] 史红健,朱飞鹏,何小元. 基于时空域分析影像云纹的低频振动测量[J]. 光学学报,2011,31(4):0412005. doi: 10.3788/AOS201131.0412005

    SHI H J,ZHU F P,HE X Y. Low-frequency vibration measurement based on spatiotemporal analysis of shadow moiré[J]. Acta Optica Sinica,2011,31(4):0412005. doi: 10.3788/AOS201131.0412005
    [4] 王于蓝,范雄杰,高伟,等. 航空发动机燃烧室光学可视模型试验件及其流场测量研究进展[J]. 实验流体力学,2021,35(1):18-33. doi: 10.11729/syltlx20190171

    WANG Y L,FAN X J,GAO W,et al. Development of optically accessible gas turbine model combustor and its flow field testing[J]. Journal of Experiments in Fluid Mechanics,2021,35(1):18-33. doi: 10.11729/syltlx20190171
    [5] 娄春,张鲁栋,蒲旸,等. 基于自发辐射分析的被动式燃烧诊断技术研究进展[J]. 实验流体力学,2021,35(1):1-17. doi: 10.11729/syltlx20200063

    LOU C,ZHANG L D,PU Y,et al. Research advances in passive techniques for combustion diagnostics based on analysis of spontaneous emission radiation[J]. Journal of Experiments in Fluid Mechanics,2021,35(1):1-17. doi: 10.11729/syltlx20200063
    [6] KLEINFELDER S,LIM S,LIU X Q,et al. A 10000 frames/s CMOS digital pixel sensor[J]. IEEE Journal of Solid-State Circuits,2001,36(12):2049-2059. doi: 10.1109/4.972156
    [7] 达争尚,陈良益. 电子带宽对高速视频成像系统的限制[J]. 光子学报,2004,33(6):743-745.

    DA Z S,CHEN L Y. The limitation of electronic band-width to high-speed visual image system[J]. Acta Photonica Sinica,2004,33(6):743-745.
    [8] DONOHO D L. Compressed sensing[J]. IEEE Transactions on Infor- mation Theory,2006,52(4):1289-1306. doi: 10.1109/TIT.2006.871582
    [9] DUARTE M F,DAVENPORT M A,TAKHAR D,et al. Single-pixel imaging via compressive sampling[J]. IEEE Signal Processing Maga- zine,2008,25(2):83-91. doi: 10.1109/MSP.2007.914730
    [10] GIBSON G,JOHNSON S,PADGE M. Single-pixel imaging 12 years on: a review[J]. Optics Express,2020,28(19):28190-28208. doi: 10.1364/OE.403195
    [11] RASKAR R, AGRAWAL A, TUMBLIN J. Coded exposure photogra-phy: motion deblurring using fluttered shutter[C]//Proc of the ACM SIGGRAPH 2006 Papers on - SIGGRAPH '06. 2006. doi: 10.1145/1179352.1141957
    [12] GU J W, HITOMI Y, MITSUNAGA T, et al. Coded rolling shutter photography: Flexible space-time sampling[C]//Proc of the 2010 IEEE International Conference on Computational Photography (ICCP). 2010. doi: 10.1109/ICCPHOT.2010.5585094
    [13] AGRAWAL A, GUPTA M, VEERARAGHAVAN A, et al. Optimal coded sampling for temporal super-resolution[C]//Proc of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2010. doi: 10.1109/CVPR.2010.5540161
    [14] LIU D Y,GU J W,HITOMI Y,et al. Efficient space-time sampling with pixel-wise coded exposure for high-speed imaging[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(2):248-260. doi: 10.1109/TPAMI.2013.129
    [15] CHEN T,MA K K,CHEN L H. Tri-state Median filter for image denoising[J]. IEEE Transactions on Image Processing,1999,8(12):1834-1838. doi: 10.1109/83.806630
    [16] HSIEH M H,CHENG F C,SHIE M C,et al. Fast and efficient Median filter for removing 1-99% levels of salt-and-pepper noise in images[J]. Engineering Applications of Artificial Intelligence,2013,26(4):1333-1338. doi: 10.1016/j.engappai.2012.10.012
    [17] GUO D,QU X B,DU X F,et al. Salt and pepper noise removal with noise detection and a patch-based sparse representation[J]. Advances in Multimedia,2014,2014:1-14. doi: 10.1155/2014/682747
    [18] TIAN H Y,CAI H M,LAI J H. A novel diffusion system for impulse noise removal based on a robust diffusion tensor[J]. Neurocomput-ing,2014,133:222-230. doi: 10.1016/j.neucom.2013.11.014
    [19] JIANG G Q,HE H B,XIE P,et al. Stacked multilevel-denoising autoencoders: a new representation learning approach for wind turbine gearbox fault diagnosis[J]. IEEE Transactions on Instrumentation and Measurement,2017,66(9):2391-2402. doi: 10.1109/TIM.2017.2698738
  • 加载中
图(6)
计量
  • 文章访问数:  440
  • HTML全文浏览量:  149
  • PDF下载量:  27
  • 被引次数: 0
出版历程
  • 收稿日期:  2020-04-07
  • 修回日期:  2021-06-21
  • 网络出版日期:  2021-12-10
  • 刊出日期:  2021-12-30

目录

    /

    返回文章
    返回

    重要公告

    www.syltlx.com是《实验流体力学》期刊唯一官方网站,其他皆为仿冒。请注意识别。

    《实验流体力学》期刊不收取任何费用。如有组织或个人以我刊名义向作者、读者收取费用,皆为假冒。

    相关真实信息均印刷于《实验流体力学》纸刊。如有任何疑问,请先行致电编辑部咨询并确认,以避免损失。编辑部电话0816-2463376,2463374,2463373。

    请广大读者、作者相互转告,广为宣传!

    感谢大家对《实验流体力学》的支持与厚爱,欢迎继续关注我刊!


    《实验流体力学》编辑部

    2021年8月13日