COMBINED NON-LOCAL AVERAGING AND INTERSECTION OF CONFIDENCE INTERVALS FOR IMAGE DE-NOISING

被引：6
|
作者：
Bilcu, Radu Ciprian [1 ]
Vehvilainen, Markku [1 ]
机构：
[1] Nokia Res Ctr, Interact Core Technol Ctr, Tampere 33720, Finland
来源：
2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年
关键词：
Image processing; image de-noising; non-local means; intersection of confidence intervals;
D O I：
10.1109/ICIP.2008.4712110
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Non-Local means (NL-means) algorithm was recently introduced and shown state of the art performance in image denoising. However the computational complexity of the NL-means is very high which can prevent its implementation into products. In this paper we propose a method which retains the excellent de-noising characteristics of the NL-means algorithm but with much less computational complexity. Comparison between our method, the NL-means algorithm and other fast NL-means based approaches is illustrated through several experiments.
引用
收藏
页码：1736 / 1739
页数：4
相关论文
共 50 条
  • [21] Fuzzy based self-similarity weight estimation in non-local means for gray-scale image de-noising
    Thakur, Niveditta
    Khan, Nafis Uddin
    Sharma, Sunil Datt
    DIGITAL SIGNAL PROCESSING, 2024, 147
  • [22] Local adaptive de-noising techniques in transform domain for EMCG de-noising
    Öktem, H
    Egiazarian, KO
    Nousiainen, J
    ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, : 1769 - 1772
  • [23] A novel image de-noising algorithm combined PCNN with morphology
    Zhang Hong-juan
    Zhang Zong-nian
    Lin Dong-mei
    Ma Yi-de
    2007 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS, VOLS 1 AND 2, 2007, : 244 - +
  • [24] A novel image de-noising algorithm combined ICM with morphology
    Ma Yi-de
    Zhang Hong-juan
    2007 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES, VOLS 1-3, 2007, : 526 - 530
  • [25] Parameter Optimization for Local Polynomial Approximation based Intersection Confidence Interval Filter Using Genetic Algorithm: An Application for Brain MRI Image De-Noising
    Dey, Nilanjan
    Ashour, Amira S.
    Beagum, Samsad
    Pistola, Dimitra Sifaki
    Gospodinov, Mitko
    Gospodinova, Evgeniya Peneva
    Tavares, Joao Manuel R. S.
    JOURNAL OF IMAGING, 2015, 1 (01) : 60 - 84
  • [26] Image De-Noising Algorithm Based on Intersection Cortical Model and Median Filter
    Ortiz, Estela
    Mejia-Lavalle, Manuel
    Mujica, Dante
    Reyes, Gerardo
    2015 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONICS, AND AUTOMOTIVE ENGINEERING (ICMEAE 2015), 2015, : 41 - 44
  • [27] Adapting non-local means of de-noising in intraoperative magnetic resonance imaging for brain tumor surgery
    Mizukuchi T.
    Fujii M.
    Hayashi Y.
    Tsuzaka M.
    Radiological Physics and Technology, 2014, 7 (1) : 124 - 132
  • [28] System of Synchronous Averaging De-noising Based on Labview
    Zhang, Shuo
    Li, Yongqian
    Li, Xingrong
    Yang, Zhi
    Zhao, Lijuan
    2008 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND INFORMATION TECHNOLOGY, PROCEEDINGS, 2008, : 446 - 448
  • [29] Speech De-noising System with Non Local Means Algorithm
    Zoican, Sorin
    2010 9TH INTERNATIONAL SYMPOSIUM ON ELECTRONICS AND TELECOMMUNICATIONS (ISETC), 2010, : 315 - 318
  • [30] Image de-noising using noise ratio estimation, K-means clustering and non-local means-based estimator
    Khan, Asifullah
    Waqas, Muhammad
    Ali, Muhammad Rizwan
    Altalhi, Abdulrahman
    Alshomrani, Saleh
    Shim, Seong-O
    COMPUTERS & ELECTRICAL ENGINEERING, 2016, 54 : 370 - 381
12345