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
  • [21] Bilateral Upsampling Network for Single Image Super-Resolution With Arbitrary Scaling Factors
    Zhang, Menglei
    Ling, Qiang
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30 : 4395 - 4408
  • [22] A novel approach to multi-frame image super resolution using an innovative filter and pixel selection mechanism
    Zhang, Dongxiao
    Tang, Ni
    Gao, Juhao
    SIGNAL IMAGE AND VIDEO PROCESSING, 2025, 19 (01)
  • [23] Fuzzy-Rule Based Approach for Single Frame Super Resolution
    Purkait, Pulak
    Chanda, Bhabatosh
    2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013), 2013,
  • [24] Image adaptive block single-frame super resolution algorithm
    Li, Zhan
    Wu, Shao-Chun
    Peng, Qing-Yu
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2015, 37 (10): : 2411 - 2417
  • [25] A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method
    Sun, Jing
    Yuan, Qiangqiang
    Shen, Huanfeng
    Li, Jie
    Zhang, Liangpei
    SENSORS, 2024, 24 (17)
  • [26] Super Resolution Using Trilateral Filter Regression Interpolation
    Chang, Ting-An
    Lee, Kuan-Ting
    Chen, Guan-Cheng
    Chiu, Shu-Hui
    Yang, Jar-Ferr
    2017 IEEE 2ND INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP), 2017, : 86 - 89
  • [27] Single Image Super Resolution: An Efficient Approach using Auto-learning and Filter Pooling
    Greeshma, M. S.
    Bindu, V. R.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), 2017, : 20 - 27
  • [28] Robust Multi-Frame Image Super-Resolution Using Anisotropic Diffusion
    Singh, Amaresh Chandra
    Yi, Xu
    2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP), 2016, : 96 - 102
  • [29] Use of bilateral filters for super-resolution of single image with iterations for minimizing reconstruction errors
    Chang, Jian
    Kohei, Inoue
    Kiichi, Urahama
    Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 2009, 63 (12): : 1888 - 1891
  • [30] Single Frame Image Super Resolution Using ANFIS Interpolation: An Initial Experiment-Based Approach
    Ismail, Muhammad
    Yang, Jing
    Shang, Changjing
    Shen, Qiang
    ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS (UKCI 2019), 2020, 1043 : 27 - 40
12345