图书馆订阅: Guest
Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集
电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

卷:
卷 78, 2019 卷 77, 2018 卷 76, 2017 卷 75, 2016 卷 74, 2015 卷 73, 2014 卷 72, 2013 卷 71, 2012 卷 70, 2011 卷 69, 2010 卷 68, 2009 卷 67, 2008 卷 66, 2007 卷 65, 2006 卷 64, 2005 卷 63, 2005 卷 62, 2004 卷 61, 2004 卷 60, 2003 卷 59, 2003 卷 58, 2002 卷 57, 2002 卷 56, 2001 卷 55, 2001 卷 54, 2000 卷 53, 1999 卷 52, 1998 卷 51, 1997

电信和无线电工程

DOI: 10.1615/TelecomRadEng.v77.i9.30
pages 769-786

DENOISING OF MULTICHANNEL IMAGES WITH NONLINEAR TRANSFORMATION OF REFERENCE IMAGE

S. K. Abramov
Department of Transmitters, Receivers and Signal Processing, National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
V. V. Abramova
National Aerospace University (Kharkiv Aviation Institute), 17, Chkalov St., Kharkiv, 61070, Ukraine
V. V. Lukin
National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
Karen O. Egiazarian
Tampere University of Technology, Signal Processing Laboratory, P. O. Box 553, FIN-33101, Tampere, Finland

ABSTRACT

It has been demonstrated recently that efficiency of filtering a noisy component image of a multichannel image can be sufficiently improved under condition that the multichannel image has almost noise-free component image(s) that possess high correlated with the noisy component image used as reference. High correlation and practical absence of the noise are only pre-requisites for efficient filtering of the noisy image using reference. Other criteria of similarity than cross-correlation factor are important. In this paper we show how it is possible to make the reference image very "close" to the noisy one by exploiting nonlinear transformation. Moreover, it is demonstrated that the proposed approach can be useful for denoising images corrupted by signal-dependent noise which is often the case for multichannel remote sensing data.


Articles with similar content:

DCT-BASED DENOISING IN MULTICHANNEL IMAGING WITH REFERENCE
Telecommunications and Radio Engineering, Vol.75, 2016, issue 13
V. V. Lukin, S. K. Abramov, J. T. Astola, Karen O. Egiazarian, V. V. Abramova
AN AUTOMATIC APPROACH TO LOSSY COMPRESSION OF AVIRIS HYPERSPECTRAL DATA
Telecommunications and Radio Engineering, Vol.69, 2010, issue 6
M. S. Zriakhov, N. N. Ponomarenko, A. Kaarna
ACOUSTIC NOISE ATMOSPHERIC RADAR WITH NONPARAMETRIC COPULA BASED SIGNAL PROCESSING
Telecommunications and Radio Engineering, Vol.71, 2012, issue 4
F. J. Yanovsky, R. B. Sinitsyn
DENOISING OF MULTICHANNEL IMAGES WITH REFERENCES
Telecommunications and Radio Engineering, Vol.76, 2017, issue 19
V. V. Lukin, S. K. Abramov, J. T. Astola, Karen O. Egiazarian, V. V. Abramova
Image Filtering Based on Discrete Cosine Transform
Telecommunications and Radio Engineering, Vol.66, 2007, issue 18
N. N. Ponomarenko, R. Oktem