Share Email Print
cover

Proceedings Paper

Automatic image enhancement by artificial bee colony algorithm
Author(s): Adiljan Yimit; Yoshihiro Hagihara; Tasuku Miyoshi; Yukari Hagihara
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

With regard to the improvement of image quality, image enhancement is an important process to assist human with better perception. This paper presents an automatic image enhancement method based on Artificial Bee Colony (ABC) algorithm. In this method, ABC algorithm is applied to find the optimum parameters of a transformation function, which is used in the enhancement by utilizing the local and global information of the image. In order to solve the optimization problem by ABC algorithm, an objective criterion in terms of the entropy and edge information is introduced to measure the image quality to make the enhancement as an automatic process. Several images are utilized in experiments to make a comparison with other enhancement methods, which are genetic algorithm-based and particle swarm optimization algorithm-based image enhancement methods.

Paper Details

Date Published: 20 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681R (20 March 2013); doi: 10.1117/12.2010802
Show Author Affiliations
Adiljan Yimit, Iwate Univ. (Japan)
Yoshihiro Hagihara, Iwate Univ. (Japan)
Tasuku Miyoshi, Iwate Univ. (Japan)
Yukari Hagihara, Iwate Univ. (Japan)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top