Super resolution reconstruction of video sequence based on total variation

被引：0
|
作者：
Han, YB [1 ]
Wu, LN [1 ]
机构：
[1] SE Univ, Dept Radio Engn, Nanjing 210096, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An adaptive filter for video sequence super resolution reconstruction is proposed based on weighted least square and total variation regularization. We thoroughly study the motion compensation matrix and weighted matrix, and deduce the recursive filter formula. Experimental results demonstrate the power of the proposed method with some adaptive and robust.
引用
收藏
页码：575 / 578
页数：4
相关论文
共 50 条
  • [1] Video Super-resolution Reconstruction Algorithm Based on Total Variation Regularization
    Tang, Ling
    IAEDS15: INTERNATIONAL CONFERENCE IN APPLIED ENGINEERING AND MANAGEMENT, 2015, 46 : 169 - 174
  • [2] A total variation regularization based super-resolution reconstruction algorithm for digital video
    Ng, Michael K.
    Shen, Huanfeng
    Lam, Edmund Y.
    Zhang, Liangpei
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2007,
  • [3] A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video
    Michael K. Ng
    Huanfeng Shen
    Edmund Y. Lam
    Liangpei Zhang
    EURASIP Journal on Advances in Signal Processing, 2007
  • [4] Super resolution reconstruction of video sequence based on adaptive filter
    School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China
    不详
    Jisuanji Xuebao, 2006, 4 (642-647):
  • [5] Super-resolution reconstruction of video sequence based on WLS filtering
    Han, Yu-Bing
    Shu, Feng
    Wu, Le-Nan
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2009, 31 (01): : 120 - 123
  • [6] An improved super resolution reconstruction algorithm for video sequence
    Cho, Hyo-Moon
    Cho, Sang-Bok
    SIGMAP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS, 2007, : 192 - +
  • [7] Super Resolution Reconstruction Based on Adaptive Sparse Domain and Total Variation Regularization of Wavelet Transform
    Gan, Ling
    Zhu, Linhua
    Guo, Qianwen
    MATERIALS SCIENCE, ENERGY TECHNOLOGY, AND POWER ENGINEERING I, 2017, 1839
  • [8] Zoom-based super-resolution reconstruction approach using prior total variation
    Ng, Michael K.
    Shen, Huanfeng
    Chaudhuri, Subhasis
    Yau, Andy C.
    OPTICAL ENGINEERING, 2007, 46 (12)
  • [9] Super resolution image reconstruction utilizing total variation regularizaron and learning-based method
    Sakurai M.
    Yoshikawa A.
    Suzuki S.
    Goto T.
    Hirano S.
    Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 2010, 64 (11): : 1613 - 1620
  • [10] SUPER RESOLUTION IMAGE RECONSTRUCTION USING TOTAL VARIATION REGULARIZATION AND LEARNING-BASED METHOD
    Yoshikawa, Akihiro
    Suzuki, Shotaro
    Goto, Tomio
    Hirano, Satoshi
    Sakurai, Masaru
    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 1993 - 1996
12345