Automatic image enhancement by artificial bee colony algorithm

Adiljan Yimit; Yoshihiro Hagihara; Tasuku Miyoshi; Yukari Hagihara

doi:10.1117/12.2010802

20 March 2013 Automatic image enhancement by artificial bee colony algorithm

Adiljan Yimit, Yoshihiro Hagihara, Tasuku Miyoshi, Yukari Hagihara

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87681R (2013) https://doi.org/10.1117/12.2010802
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

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.

Citation Download Citation

Adiljan Yimit, Yoshihiro Hagihara, Tasuku Miyoshi, and Yukari Hagihara "Automatic image enhancement by artificial bee colony algorithm", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681R (20 March 2013); https://doi.org/10.1117/12.2010802

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