Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
High quality images are needed in the processing of digital images and along with the growth of internet’s bandwidth the image transimition can be quickly and easily to perform. Image quality that is acquired from various sources can be damaged or distorted for various reasons, therefore, an enchancement model is needed to improve the image quality. This research focuses on implementing an image enhancement method based on bee colony algorithm. Integrating adaptable bee colony algorithm and fuzzy set, this study show implementation of fuzzy entropy into the adaptable fuzzy entropy and uses artificial beef colony algorithm to perform the contrast enhancement under the maximum entropy criterion. The experimental result shows that the method can be maximized the dynamic range compression of the image, enhances the image attributes of the image, enhances the image details, maximized some color fidelity capacity and effectively outperforms the performance of the traditional image enhancement methods.
How to cite this article:
Phie Chyan. Image Enhancement Based On Bee Colony Algorithm.
DOI: https://doi.org/10.36478/jeasci.2019.43.49
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.43.49