The algorithms for work with large image oriented to data processing features of human

Abstract

The aim of this study is the development and implementation the algorithms of processing the big picture obtained with modern photographic equipment based on human perceptions with more efficient use of information networks bandwidth. Objectives of the study is to analyze existing approaches to building systems for work with big images, forming requirements for big image processing algorithms, respectively, on the basis of these requirements development and implementation of these algorithms, and experimental studies of the proposed approach effectiveness. The object of research is the algorithms for work with big images. The subject of research is the development of algorithms for work with large image oriented to data processing features of human. This paper analyzes, generalization and systematization of the existing approaches and algorithms for working with big images. Algorithms for encoding/decoding images using quad trees with the ability to decode only part of the image and selecting the desired resolution with simultaneous corresponding reduction in consumed traffic. Results of the study will be used to developing the information and TV systems using the proposed algorithms.