Super-Resolution Reconstruction for Spatio-Temporal Resolution Enhancement of Video Sequences

被引：0
|
作者：
Haseyama, Miki [1 ]
Izumi, Daisuke [1 ]
Takizawa, Makoto [1 ]
机构：
[1] Hokkaido Univ, Sch Informat Sci & Technol, Sapporo, Hokkaido 0600814, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2012年 / E95D卷 / 09期
关键词：
video processing; super-resolution; frame rate up-conversion; image enlargement; spatio-temporal resolution enhancement;
D O I：
10.1587/transinf.E95.D.2355
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method for spatio-temporal resolution enhancement of video sequences based on super-resolution reconstruction is proposed. A new observation model is defined for accurate resolution enhancement, which enables subpixel motion in intermediate frames to be obtained. A modified optimization formula for obtaining a high-resolution sequence is also adopted.
引用
收藏
页码：2355 / 2358
页数：4
相关论文
共 50 条
  • [41] Spatio-temporal Super-resolution with Photographic and Depth Data using GANs
    Lim, Steffen
    Khan, Sams
    Alessandro, Matteo
    McFall, Kevin
    [J]. PROCEEDINGS OF THE 2019 ANNUAL ACM SOUTHEAST CONFERENCE (ACMSE 2019), 2019, : 262 - 263
  • [42] Super-Resolution Enhancement of Digital Video
    Russell C. Hardie
    Richard R. Schultz
    Kenneth E. Barner
    [J]. EURASIP Journal on Advances in Signal Processing, 2007
  • [43] Super-resolution enhancement of digital video
    Hardie, Russell C.
    Schultz, Richard R.
    Barner, Kenneth E.
    [J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2007, 2007 (1)
  • [44] Super-resolution Reconstruction of Video Sequences Based on Wavelet-domain Spatial and Temporal Processing
    Lee, Chang-Ming
    Lee, Chien-Jung
    Hsieh, Chia-Yung
    Lie, Wen-Nung
    [J]. 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 194 - 197
  • [45] Spatio-Temporal Super-Resolution Reconstruction of Remote-Sensing Images Based on Adaptive Multi-Scale Detail Enhancement
    Zhu, Hong
    Tang, Xinming
    Xie, Junfeng
    Song, Weidong
    Mo, Fan
    Gao, Xiaoming
    [J]. SENSORS, 2018, 18 (02)
  • [46] Real-Time Video Super-Resolution with Spatio-Temporal Modeling and Redundancy-Aware Inference
    Wang, Wenhao
    Liu, Zhenbing
    Lu, Haoxiang
    Lan, Rushi
    Zhang, Zhaoyuan
    [J]. SENSORS, 2023, 23 (18)
  • [47] iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks
    Aman Chadha
    John Britto
    M. Mani Roja
    [J]. Computational Visual Media, 2020, 6 : 307 - 317
  • [48] STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models
    Baniya, Arbind Agrahari
    Lee, Tsz-Kwan
    Eklund, Peter W.
    Aryal, Sunil
    [J]. SIGMAP: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS, 2022, : 48 - 58
  • [49] iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks
    Chadha, Aman
    Britto, John
    Roja, M. Mani
    [J]. COMPUTATIONAL VISUAL MEDIA, 2020, 6 (03) : 307 - 317
  • [50] iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks
    Aman Chadha
    John Britto
    M.Mani Roja
    [J]. Computational Visual Media, 2020, 6 (03) : 307 - 317
12345