A novel denoising method for infrared image based on bilateral filtering and non-local means

被引：0
|
作者：
Liu F.-L. [1 ]
Sun M.-Y. [1 ]
Cai W.-N. [1 ]
机构：
[1] Key Laboratory of Computer Vision and System, Ministry of Education of China, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin
来源：
Optoelectronics Letters | 2017年 / 13卷 / 3期
关键词：
D O I：
10.1007/s11801-017-7007-8
中图分类号：
学科分类号：
摘要：
This paper presents an image denoising method based on bilateral filtering and non-local means. The non-local region texture or structure of the image has the characteristics of repetition, which can be used to effectively preserve the edge and detail of the image. And compared with classical methods, bilateral filtering method has a better performance in denosing for the reason that the weight includes the geometric closeness factor and the intensity similarity factor. We combine the geometric closeness factor with the weight of non-local means, and construct a new weight. Experimental results show that the modified algorithm can achieve better performance. And it can protect the image detail and structure information better. © 2017, Tianjin University of Technology and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：237 / 240
页数：3
相关论文
共 50 条
  • [1] A novel denoising method for infrared image based on bilateral filtering and non-local means
    刘凤连
    孙梦尧
    蔡文娜
    Optoelectronics Letters, 2017, 13 (03) : 237 - 240
  • [2] Infrared image denoising by non-local means filtering
    Dee-Noor, Barak
    Stern, Adrian
    Yitzhaky, Yitzhak
    Kopeika, Natan
    VISUAL INFORMATION PROCESSING XXI, 2012, 8399
  • [3] Joint Bilateral Filtering based Non-local Means Image Denoising
    Jith, O. U. Nirmal
    Babu, R. Venkatesh
    2014 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS (SPCOM), 2014,
  • [4] Adaptive Image Denoising Method Based On Non-local Means Filtering
    Wang, Jing
    Su, Jia
    Hou, Yan-li
    Hou, Wei-min
    2015 7TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC), 2014, : 624 - 627
  • [5] Generalized non-local means filtering for image denoising
    Dolui, Sudipto
    Patarroyo, Ivan C. Salgado
    Michailovich, Oleg V.
    IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XII, 2014, 9019
  • [6] A novel Non-local means image denoising method based on grey theory
    Li, Hongjun
    Suen, Ching Y.
    PATTERN RECOGNITION, 2016, 49 : 237 - 248
  • [7] Non-local means image denoising with bilateral structure tensor
    Huan, Li
    Yi, Xu
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS, 2016, 71 : 1625 - 1630
  • [8] A modified non-local means using bilateral thresholding for image denoising
    Xiaobo Zhang
    Multimedia Tools and Applications, 2024, 83 : 7395 - 7416
  • [9] A modified non-local means using bilateral thresholding for image denoising
    Zhang, Xiaobo
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (03) : 7395 - 7416
  • [10] Image Denoising Method Based on Non-Local Means Filter and Noise Estimation
    Lim, Jae Sung
    Cho, Sung In
    Kim, Young Hwan
    IDW/AD '12: PROCEEDINGS OF THE INTERNATIONAL DISPLAY WORKSHOPS, PT 1, 2012, 19 : 721 - 724
12345