RT Journal Article ID 7b26a1d24e7a8379 A1 Abramov, S. K. A1 Ponomarenko, N. N. A1 Vozel, Benoit A1 Chehdi, Kacem T1 Methods for Blind Evaluation of Noise Variance in Multichannel Optical and Radar Images JF Telecommunications and Radio Engineering JO TRE YR 2006 FD 2006-06-01 VO 65 IS 6-10 SP 527 OP 556 AB 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. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,00c8592e5cb80774,7b26a1d24e7a8379.html