Abstract: The invention relates to the field of digital image processing and can find use in suppression of noise in digital images, formed by high-energy radiation, including X-ray radiation. Specifically, the invention relates to a method for suppression of noise in digital x-ray images. The objective of the invention is to provide a method for noise suppression in digital X-ray images that has extended functionality, specifically, a method that makes it possible to reduce residual noise level and amount of artifacts in the form of discontinuities, directed along local orientation of object borders in textured image areas, to reduce residual LF noise level, and to eliminate over-smoothing (excessive filtering) of fine details. The technical innovation achieved is the improvement of digital image processing quality.

Abstract: The invention relates to methods for evaluation a brightness level of the digital x-ray image for medical applications by means of the image histogram using a neural network. The calculations comprise of: image acquisition, image histogram calculation, transformation the frequencies of the histogram into input arguments of the neural network and calculation the brightness level as linear transform of the output value of the neural network. Training of the neural network is performed over a learning set calculated over the given image database. The transformed frequencies of histograms of these images are used as a set of input arguments of the neural network. The brightness levels calculated for each image over the region of interest and scaled to the range of output values of the neuron network are used as a set of target values.