Single Frame Super Resolution using Bilateral Filter

被引：0
作者：
Kita, Koji [1 ]
Yoshioka, Michifumi [2 ]
Inoue, Katsufumi [2 ]
机构：
[1] Noritsu Precis Co Ltd, Prod Dev Grp, Wakayama, Wakayama, Japan
[2] Osaka Prefecture Univ, Grad Sch Engn, Sakai, Osaka, Japan
来源：
2017 JOINT 17TH WORLD CONGRESS OF INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND 9TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (IFSA-SCIS) | 2017年
关键词：
Single frame; Super resolution; Bilateral filter; IMAGE SUPERRESOLUTION;
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：
A bilateral filter which is a general noise removal method is an edge preserving type noise removal filter and is known to have an effect of emphasizing an edge together with a noise removal effect. In this paper, we describe an image super resolution method applying this feature. Experimental results are not totally different from the conventional methods in both objective evaluation ( PSNR) and subjective evaluation. However, the proposed method is resistant to the degree of deterioration ( enlargement ratio), and according to a new objective evaluation focusing on edges, it was possible to confirm the sharpening effect exceeding the conventional methods.
引用
收藏
页数：7
相关论文
共 50 条
  • [41] Super-resolution of single multi-color image with guided filter
    Zhang, Qinglin
    Chen, Bingling
    Lu, Xuan
    Xia, Qiaoqiao
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 58 : 277 - 284
  • [42] An Improved Single-Frame Super-Resolution Algorithm for Magnetic Resonance Image
    Chu Jinghui
    Hu Fengshuo
    Zhang Jiaqi
    Lu Wei
    LASER & OPTOELECTRONICS PROGRESS, 2018, 55 (05)
  • [43] Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions
    Zhang, Ji-Ping
    Dai, Tao
    Xia, Shu-Tao
    NEURAL INFORMATION PROCESSING, PT III, 2015, 9491 : 610 - 618
  • [44] Single frame image super-resolution: should we process locally or globally?
    Jiji, C. V.
    Chaudhuri, Subhasis
    Chatterjee, Priyam
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2007, 18 (2-3) : 123 - 152
  • [45] Deep Bilateral Learning for Stereo Image Super-Resolution
    Xu, Qingyu
    Wang, Longguang
    Wang, Yingqian
    Sheng, Weidong
    Deng, Xinpu
    IEEE SIGNAL PROCESSING LETTERS, 2021, 28 : 613 - 617
  • [46] Fast and Lightweight Network for Single Frame Structured Illumination Microscopy Super-Resolution
    Cheng, Xi
    Li, Jun
    Dai, Qiang
    Fu, Zhenyong
    Yang, Jian
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [47] Super-resolution method of closely spaced objects based on sparse reconstruction using single frame infrared data
    Zhang, Hui
    Xu, Hui
    Lin, Liangkui
    Guangxue Xuebao/Acta Optica Sinica, 2013, 33 (04):
  • [48] Single frame image super-resolution: should we process locally or globally?
    C. V. Jiji
    Subhasis Chaudhuri
    Priyam Chatterjee
    Multidimensional Systems and Signal Processing, 2007, 18 : 123 - 152
  • [49] Single Depth Image Super-Resolution via High-Frequency Subbands Enhancement and Bilateral Filtering
    Balure, Chandra Shaker
    Kini, Ramesh M.
    Bhavsar, Arnav
    2016 11TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2016, : 523 - 528
  • [50] Sparse representation using multiple dictionaries for single image super-resolution
    Lin, Yih-Lon
    Sung, Chung-Ming
    Chiang, Yu-Min
    SIXTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2014), 2015, 9443
12345