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Telecommunications and Radio Engineering
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ISSN Print: 0040-2508
ISSN Online: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v65.i6.40
pages 527-556

Methods for Blind Evaluation of Noise Variance in Multichannel Optical and Radar Images

S. K. Abramov
Department of Transmitters, Receivers and Signal Processing, National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
N. N. Ponomarenko
National Aerospace University, Kharkiv, Ukraine
Benoit Vozel
University of Rennes 1, Enssat, Lannion, 22300, France
Kacem Chehdi
University of Rennes I, 6, Rue de Kerampont, 22 305 Lannion cedex, BP 80518, France

ABSTRACT

A priori knowledge of noise type and statistical characteristics (at least, noise variance) is a pre-requisite of successful solving many practical tasks of image processing like filtering (denoising), edge detection, segmentation, etc. This relates to both gray-scale and multichannel (multi- and hyper-spectral) images. However, in practical situations noise characteristics depend upon many factors and it is a common practice to determine noise type and variance just for images at hand. It is desirable to perform this operation automatically especially if one deals with multichannel images. Thus, below we consider several approaches and methods for blind evaluation of noise variance. Their accuracy and applicability are analyzed for images with different properties, in particular, various percentage of texture regions. Besides, a set of noise variance values is tested.


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