@article{MAKHILLJEAS201914117285,
    title = {Image Enhancement Based On Bee Colony Algorithm},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {1},
    pages = {43-49},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.43.49},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.43.49},
    author = {Phie},
    keywords = {histogram equalization,histogram enhancement,image processing,domain spatial transformation,bee colony algorithm,Image enhancement},
    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.}
    }