Iterative function systems for natural image processing

Abstract

This paper deals with the topic of iterative processing functions and has the primary goal to show its usefulness today for natural image processing. In simple terms, “natural images” are “photographs” of a typical environment where we live. Starting from theoretical mathematical models whose parameters are estimated from image samples towards implementation using modern technologies, visualization using iterative functions is gaining more and more support in computational modeling of biological visual systems, and also in many related areas of research from engineering, biology, medicine to astronomy or economics. This article analyzes the methods of generation, visualization, calculation and comparison of performance management implementations on fractal sets.