@inproceedings{9638770966e24958af9082471f17546d,
title = "Novel image correction method based on swarm intelligence approach",
abstract = "In the article an approach toward novel method for image features correction is proposed. For the input image developed swarm intelligence technique is applied to improve brightness, contrast, sharpen presentation and improve gamma correction. The following sections present proposed model of the correction techniques with applied swarm intelligence approach. Experimental results on a set of test images are presented with a discussion of achieved improvements.",
keywords = "Image processing, Swarm algorithm",
author = "Marcin Wo{\'z}niak",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 22nd International Conference on Information and Software Technologies, ICIST 2016 ; Conference date: 13-10-2016 Through 15-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46254-7\_32",
language = "English",
isbn = "9783319462530",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "404--413",
editor = "Giedre Dregvaite and Robertas Damasevicius",
booktitle = "Information and Software Technologies - 22nd International Conference, ICIST 2016, Proceedings",
address = "Germany",
}