Image Sequence Restoration Based on State Space Model Identification

被引：0
|
作者：
Lu, Xin [1 ]
Nishiyama, Kiyoshi [1 ]
机构：
[1] Iwate Univ, Dept Comp & Informat Sci, Morioka, Iwate 020, Japan
来源：
2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7 | 2008年
关键词：
image sequence restoration; state space model; maximum likelihood estimator; Kalman filter;
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：
In this paper, the proposed method includes a conceptual frame of state space model (SSM) in order to achieve a general model for accurately estimating the high-resolution image sequence from its incomplete low-resolution observation sequence. Here the parameters of SSM are calculated by a statistic approach - maximum likelihood (ML) estimator. By using the most effective filter of SSM - Kalman filter to estimate, we find that the estimated image sequence is closer to the actual one than the bi-linear interpolation.
引用
收藏
页码：553 / 556
页数：4
相关论文
共 50 条
  • [31] Underwater Image Restoration by Turbulence Model Based on Image Gradient Distribution
    Yang Miao
    Gong Cheng-long
    2012 2ND INTERNATIONAL CONFERENCE ON UNCERTAINTY REASONING AND KNOWLEDGE ENGINEERING (URKE), 2012, : 296 - 299
  • [32] Underwater Image Restoration Based on An Improved Underwater Image Formation Model
    Fan, XinNan
    Zhou, Xuan
    Shi, PengFei
    Sun, HuanRu
    Ye, ShuYue
    2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 95 - 99
  • [33] Underwater Image Restoration Based on A New Underwater Image Formation Model
    Zhang, Mohua
    Peng, Jianhua
    IEEE ACCESS, 2018, 6 : 58634 - 58644
  • [34] A wavelet-based statistical model for image restoration
    Wan, Y
    Nowak, RD
    2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2001, : 598 - 601
  • [35] An image restoration model based on adaptive local constraints
    Yu, Xiao-Sheng
    Wu, Cheng-Dong
    Chen, Dong-Yue
    Jia, Tong
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2012, 33 (08): : 1079 - 1083
  • [36] Image restoration based on wavelet domain sparse model
    Yi, Li-Ya
    Lu, Xiao-Lei
    Huang, Ben-Xiong
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2010, 39 (04): : 766 - 771
  • [37] Image Restoration based on a p-Gradient Model
    Maouni, M.
    Nouri, F. Z.
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2013, 41 (11): : 48 - 57
  • [38] Identification of key areas for the ecological restoration of territorial space in Kunming based on the InVEST model and circuit theory
    Qin, Bin-Gui
    Lin, Yi-Lin
    Zhao, Jun-San
    Chen, Guo-Ping
    He, Wan-Cai
    Lü, Qing-Zhou
    Zhongguo Huanjing Kexue/China Environmental Science, 2023, 43 (02): : 809 - 820
  • [39] A learning state-space model for image retrieval
    Chiang, Cheng-Chieh
    Hung, Yi-Ping
    Lee, Greg C.
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2007, 2007 (1)
  • [40] UWMamba: UnderWater Image Enhancement With State Space Model
    An, Guanhua
    He, Ao
    Wang, Yudong
    Guo, Jichang
    IEEE SIGNAL PROCESSING LETTERS, 2024, 31 : 2725 - 2729
12345