VISUALIZATION AND INCREASING THE INFORMATIVENESS OF LARGE GRAPHIC FILES

The constant development of digital technology has led to a sharp increase in the number and volume media files, including images, which make up significant part computer network traffic, reduces speed their transmission. research conducted this work is based on provisions methods image processing, laws visual perception, basics probability theory mathematical modeling. results theoretical were verified by simulation. paper proposes that, through analysis color space taking into account makes it possible significantly reduce size file. This used solve problems, particular, visualization large files informativeness images with complex semantic content. It established that reduction file achieved optimization palette leads slight deterioration quality perception. To visibility error create sense presence more different colors than actually case, proposed use diffuse pseudo-mixing colors, model some others. Along task reducing graphic palette, similar methodology was developed pseudo-colors. By modifying function converting coordinates components, modified approach formation pseudo-color proposed, increases halftone analysis.