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The Analysis of Noise Level of RGB Image Generated Using SOM

By Sergejs Kodors and Peter Grabusts


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

Topics: additive noise, image generation, self-organizing map
Publisher: RTU
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