Detection of Low Contrast Targets Based on Lifting Scheme Wavelet Transform

被引：0
|
作者：
Chen, Xiaolin [1 ]
Wang, Yanjie [2 ]
机构：
[1] Chinese Acad Sci, Grad Univ, Changchun Inst Opt Fine Mech & Phys, Changchun, Jilin Province, Peoples R China
[2] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Image Proc Dept, Changchun, Jilin Province, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS | 2009年
关键词：
image; detection; targets; lifting wavelet;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper present a fast algorithm for detection of low contrast objects by using wavelet filters based on lifting scheme. The advantage is robust to noise. According Swelden's, lifting wavelet filters are biorthogonal wavelet filters containing free parameters. We use reference image of targets to train the lifting terms, so that the learnt wavelet filters have the features of targets. Then applying such filters to the images including targets taken from camera system. We can detect the locations where the high frequency components are almost the same as those of the target image.
引用
收藏
页码：4349 / +
页数：2
相关论文
共 50 条
  • [41] A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition
    Lei, Baiying
    Soon, Ing Yann
    Zhou, Feng
    Li, Zhen
    Lei, Haijun
    SIGNAL PROCESSING, 2012, 92 (09) : 1985 - 2001
  • [42] Property study of integer wavelet transform lossless compression coding based on lifting scheme
    Xie, CJ
    Yan, S
    Xiang, Y
    ICO20: REMOTE SENSING AND INFRARED DEVICES AND SYSTEMS, 2006, 6031
  • [43] A robust and efficient image watermarking scheme based on Lagrangian SVR and lifting wavelet transform
    Mehta, Rajesh
    Rajpal, Navin
    Vishwakarma, Virendra P.
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2017, 8 (02) : 379 - 395
  • [44] Lifting Wavelet Transform Based Multicarrier Modulation Scheme for Coherent Optical Communication Systems
    Guner, Ahmet
    Ozen, Ali
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2021, 39 (13) : 4255 - 4261
  • [45] Lifting scheme-based wavelet packet transform for FBI's fingerprint compression
    Zhu, T
    Latifi, S
    CISST '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS, AND TECHNOLOGY, 2004, : 349 - 353
  • [46] A robust and efficient image watermarking scheme based on Lagrangian SVR and lifting wavelet transform
    Rajesh Mehta
    Navin Rajpal
    Virendra P. Vishwakarma
    International Journal of Machine Learning and Cybernetics, 2017, 8 : 379 - 395
  • [47] 2-D discrete wavelet transform with efficient lifting-based scheme
    Chiang, JS
    Hsia, CH
    Chen, HJ
    CISST '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS, AND TECHNOLOGY: COMPUTER GRAPHICS, 2005, : 193 - 197
  • [48] Efficient architecture for two-dimensional discrete wavelet transform based on lifting scheme
    Cao, Peng
    Guo, Xin
    Wang, Chao
    Li, Jie
    ASICON 2007: 2007 7TH INTERNATIONAL CONFERENCE ON ASIC, VOLS 1 AND 2, PROCEEDINGS, 2007, : 225 - 228
  • [49] Object detection based on weighted adaptive prediction in lifting scheme transform
    Amiri, Mahdi
    Rabiee, Hamid R.
    ISM 2006: EIGHTH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA, PROCEEDINGS, 2006, : 652 - +
  • [50] Multifocus image fusion scheme based on feature contrast in the lifting stationary wavelet domain
    Li, Huafeng
    Wei, Shanbi
    Chai, Yi
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2012,
12345