The digital visual images processing method for effective objects extraction from the background is considered. The method consists in a specific combination of filtering operations and histogram equalization. It facilitates objects extraction from background in the images, which are obtained in different environmental conditions.
In many modern information and technical systems multichannel images have several applications. The multichannel image can be presented as a set of images of an object of a research which are received in various areas of a frequency range. Such images can be exposed to the distorting influence of the noise. One of the most widespread types of the noise is the additive uncorrelated noise. Optimal filtration algorithms are characterized by huge computing complexity that often limits their practical realization.