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
  • [41] A Non-Local Means Approach for PET Image Denoising
    Yong, Yin
    Jie, Lu
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 2 - DIAGNOSTIC IMAGING, 2009, 25 : 127 - 127
  • [42] Non-uniform Noise Image Denoising Based on Non-local Means
    Li, Jiaxin
    Hu, Jing
    Wei, Min
    Zhang, Bin
    Wang, Yanfang
    INTELLIGENT INFORMATION PROCESSING IX, 2018, 538 : 437 - 445
  • [43] MARKOVIAN CLUSTERING FOR THE NON-LOCAL MEANS IMAGE DENOISING
    Hedjam, Rachid
    Moghaddam, Reza Farrahi
    Cheriet, Mohamed
    2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 3877 - 3880
  • [44] An Improved Non-Local Means Algorithm for Image Denoising
    Leng, Kaiqun
    2017 IEEE 2ND INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP), 2017, : 149 - 153
  • [45] A Novel Technique for Image Denoising using Non-local Means and Genetic Algorithm
    Kundu, Raka
    Chakrabarti, Amlan
    Lenka, Prasanna
    NATIONAL ACADEMY SCIENCE LETTERS-INDIA, 2022, 45 (01): : 61 - 67
  • [46] A Novel Technique for Image Denoising using Non-local Means and Genetic Algorithm
    Raka Kundu
    Amlan Chakrabarti
    Prasanna Lenka
    National Academy Science Letters, 2022, 45 : 61 - 67
  • [47] Non-Local Means Denoising
    Buades, Antoni
    Coll, Bartomeu
    Morel, Jean-Michel
    IMAGE PROCESSING ON LINE, 2011, 1 : 208 - 212
  • [48] Adaptive Non-Local Means Image Denoising with Local Similarity Characterization
    Chappelow, J.
    Jordan, P.
    Shea, J.
    Chao, E.
    Harstad, B.
    Maurer, C.
    MEDICAL PHYSICS, 2017, 44 (06) : 3220 - 3220
  • [49] Tensor decomposition and non-local means based spectral CT image denoising
    Zhang, Yanbo
    Salehjahromi, Morteza
    Yu, Hengyong
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2019, 27 (03) : 397 - 416
  • [50] A Simple Algorithm for Image Denoising Based on Non-Local Means and Preliminary Segmentation
    Junez-Ferreira, Carlos A.
    Velasco-Avalos, Fernando A.
    CERMA: 2009 ELECTRONICS ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE, 2009, : 204 - 208
12345