Bio-Inspired Optimization of a Fuzzy System Inference for the Generation of Psychedelic Effects in Digital Images

The generation of effects on digital images through computers has created a new age for different artistic trends. Particularly, the digital age has had a remarkable impact on psychedelic art. In this paper we propose a fuzzy inference system for color manipulation in digital images with the purpose...

Full description

Autores:
Rodríguez, Linda
Ponce, Iván
Espitia, Helbert
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/3943
Acceso en línea:
http://revistas.uan.edu.co/index.php/ingeuan/article/view/373
http://repositorio.uan.edu.co/handle/123456789/3943
Palabra clave:
Evolutionary art
colorimetry
fuzzy logic
fuzzy sets
image processing
optimization
Arte evolutivo
colorimetría
conjuntos difusos
lógica difusa
procesamiento de imágenes
optimización
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Description
Summary:The generation of effects on digital images through computers has created a new age for different artistic trends. Particularly, the digital age has had a remarkable impact on psychedelic art. In this paper we propose a fuzzy inference system for color manipulation in digital images with the purpose of modifying their artistic style. The proposed system aims to create a combination of different colors to generate a new visual sensation, much like the current psychedelic art. The proposed system is divided into two parts. The first part of the method consists in the creation of a fuzzy logic system that, through fuzzy sets, and rules of change generates color images that produced this psychedelic effect. In the second part, the differential evolution algorithm optimizes parameters of the proposed inference system and adjusts the results to the psychedelic art style used.