МЕТОДИ ПІДВИЩЕННЯ ІНФОРМАТИВНОСТІ ТА ЗМЕНШЕННЯ ОБ'ЄМУ ГРАФІЧНИХ ДАНИХ НА ОСНОВІ АНАЛІЗУ ЇХ КОЛІРНОГО ПРОСТОРУ

Abstract

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