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Bat Algorithm Method for Automatic Determination of Color and Contrast of Modified Digital Images

  • Toho University

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

This paper presents a new artificial intelligence-based method to address the following problem: given an initial digital image (source image), and a modification of the image (mod image) obtained from the source through a color map and visual attributes assumed to be unknown, determine suitable values for color map and contrast such that, when applied to the mod image, a similar image to the source is obtained. This problem has several applications in the fields of image restoration and cleaning. Our approach is based on the application of a powerful swarm intelligence method called bat algorithm. The method is tested on an illustrative example of the digital image of a famous oil painting. The experimental results show that the method performs very well, with a similarity error rate between the source and the reconstructed images of only 8.37%.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020
EditoresW. K. Chan, Bill Claycomb, Hiroki Takakura, Ji-Jiang Yang, Yuuichi Teranishi, Dave Towey, Sergio Segura, Hossain Shahriar, Sorel Reisman, Sheikh Iqbal Ahamed
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1195-1200
Número de páginas6
ISBN (versión digital)9781728173030
DOI
EstadoPublicada - jul 2020
Publicado de forma externa
Evento44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 - Virtual, Madrid, Espana
Duración: 13 jul 202017 jul 2020

Serie de la publicación

NombreProceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020

Conferencia

Conferencia44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020
País/TerritorioEspana
CiudadVirtual, Madrid
Período13/07/2017/07/20

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