REAL-TIME IMAGE SUPER RESOLUTION USING AN FPGA

被引:21
|
作者
Bowen, Oliver [1 ]
Bouganis, Christos-Savvas [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London, England
关键词
D O I
10.1109/FPL.2008.4629913
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Image super resolution is the process of combining a set of overlapping low-resolution images to produce a single high-resolution image. In this paper, a novel real-time super-resolution system is presented which is based on a weighted mean super-resolution algorithm combined with the existing fast and robust multi-frame super-resolution algorithm. The resource requirements of the proposed architecture scale linearly with the targeted image quality, making it ideally suited for a variety of real-time applications such as HDTV. Simulation results demonstrate a speed-up of three orders of magnitude over optimized software implementations with negligible loss to image quality.
引用
收藏
页码:89 / 94
页数:6
相关论文
共 50 条
  • [41] Real-time Super Resolution Algorithm for Security Cameras
    Gohshi, Seiichi
    2015 12TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS (ICETE), VOL 5, 2015, : 92 - 97
  • [42] RVSRT: Real-time Video Super Resolution Transformer
    Ou, Linlin
    Chen, Yuanping
    FOURTEENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING, ICGIP 2022, 2022, 12705
  • [43] Real-time image distortion correction using FPGA-based system
    Hernandez, Alvaro
    Gardel, Alfredo
    Perez, Laura
    Bravo, Ignacio
    Mateos, Raul
    Sanchez, Eduardo
    IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 1366 - +
  • [44] Real-Time Super-Resolution ISAR Imaging Using Unsupervised Learning
    Huang, Xuejun
    Ding, Jinshan
    Xu, Zhong
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [45] Real-Time Super-Resolution Ultrasound Imaging using GPU Acceleration
    Praesius, Sebastian Kazmarek
    Stuart, Matthias Bo
    Schou, Mikkel
    Dammann, Bernd
    Sorensen, Hans Henrik Brandenborg
    Jensen, Jorgen Arendt
    2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS), 2022,
  • [46] Gradient information distillation network for real-time single-image super-resolution
    Bin Meng
    Lining Wang
    Zheng He
    Gwanggil Jeon
    Qingyu Dou
    Xiaomin Yang
    Journal of Real-Time Image Processing, 2021, 18 : 333 - 344
  • [47] Efficient local cascading residual network for real-time single image super-resolution
    Haoran Yang
    Qingyu Dou
    Kai Liu
    Zitao Liu
    Rita Francese
    Xiaomin Yang
    Journal of Real-Time Image Processing, 2021, 18 : 1235 - 1246
  • [48] Efficient local cascading residual network for real-time single image super-resolution
    Yang, Haoran
    Dou, Qingyu
    Liu, Kai
    Liu, Zitao
    Francese, Rita
    Yang, Xiaomin
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2021, 18 (04) : 1235 - 1246
  • [49] Self-attention negative feedback network for real-time image super-resolution
    Liu, Xiangbin
    Chen, Shuqi
    Song, Liping
    Wozniak, Marcin
    Liu, Shuai
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (08) : 6179 - 6186
  • [50] Gradient information distillation network for real-time single-image super-resolution
    Meng, Bin
    Wang, Lining
    He, Zheng
    Jeon, Gwanggil
    Dou, Qingyu
    Yang, Xiaomin
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2021, 18 (02) : 333 - 344