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
  • [1] STATE-SPACE MODEL IDENTIFICATION AND KALMAN FILTERING FOR IMAGE SEQUENCE RESTORATION
    Lu, Xin
    Nishiyama, Kiyoshi
    2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5, 2008, : 509 - 512
  • [2] MambaIR: A Simple Baseline for Image Restoration with State-Space Model
    Guo, Hang
    Li, Jinmin
    Dai, Tao
    Ouyang, Zhihao
    Ren, Xudong
    Xia, Shu-Tao
    COMPUTER VISION-ECCV 2024, PT XVIII, 2025, 15076 : 222 - 241
  • [3] Urban Night Image Restoration Algorithm Based on Space Model
    Hu Jing
    Liu Yuanyuan
    2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC), 2018, : 230 - 235
  • [4] Space-time adaptation for patch-based image sequence restoration
    Boulanger, Jerome
    Kervrann, Charles
    Bouthemy, Patrick
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 29 (06) : 1096 - 1102
  • [5] Speaker identification based on state space model
    Xu L.
    Yang Z.
    International Journal of Speech Technology, 2016, 19 (2) : 407 - 414
  • [6] ACMamba: A State Space Model-Based Approach for Multi-Weather Degraded Image Restoration
    Wang, Wei
    Zhao, Pei
    Lei, Weimin
    Ju, Yingjie
    ELECTRONICS, 2024, 13 (21)
  • [7] FMambaIR: A Hybrid State-Space Model and Frequency Domain for Image Restoration
    Luan, Xin
    Fan, Huijie
    Wang, Qiang
    Yang, Nan
    Liu, Shiben
    Li, Xiaofeng
    Tang, Yandong
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [8] MambaHR: State Space Model for Hyperspectral Image Restoration Under Stray Light Interference
    Xing, Zhongyang
    Wang, Haoqian
    Liu, Ju
    Cheng, Xiangai
    Xu, Zhongjie
    Remote Sensing, 2024, 16 (24)
  • [9] MULTIDIMENSIONAL STATE-SPACE MODEL KALMAN FILTERING WITH APPLICATION TO IMAGE-RESTORATION
    WU, Z
    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1985, 33 (06): : 1576 - 1592
  • [10] Research on Space-based Sequence Image Recognition Based on Markov Model
    Li, Jianhui
    Kuai, Zhengzhong
    Zhai, Min
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 4799 - 4803
12345