Generation of fractal aesthetic objects with application in digital domain

Abstract

The main objective of this research is to define methods for aesthetical image generation based on fractal graphics. In the theoretical part the peculiarities of congenial pattern generation for each fractal type were studied and in accordance with that, five types of fractals were investigated in terms of their visual attractiveness. Each fractal type was considered from different perspectives for aesthetic properties. In order to get the GPU performance benefits, GLSL programming language was chosen for fractal images’ generation.

In the practical part of the research, hundreds of fractal images of five different types have been generated, and the most aesthetically promising according to the author have been further selected for a survey. According to a fractals’ type, resulting images were divided into three direction groups. Aesthetics of fractal images was evaluated based on their likes to reach ratio on Instagram social network. Survey results illustrate the most aesthetic fractals of each group according to the Instagram users’ opinion. Thus, the generation methods for aesthetic fractal images were found.