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The article discusses how to generate RGB images
with noise using Kohonen’s self-organizing map (SOM). The
article also describes the adaptation process and structure of
SOM, which can be used to generate RGB images with noise. The
authors of the article evaluate the influence of SOM parameters
(a learning coefficient, adaptation time, effective width) on the
noise level of RGB image generated using SOM. According to
these observations, the authors formulate several
recommendations how to control the noise level by adjusting
SOM parameters
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