@inproceedings{98d9a3b650e44ac093a7f5876f84373b,
title = "The impact of parallel programming on faster image filtering",
abstract = "Parallel programming is a field of science with a great potential nowadays due to the development of advanced computers architectures. Appropriate usage of this tool can be therefore highly beneficial in multimedia applications and significantly decreases the time of calculations. In this article, we analyze how the speed of calculations is influenced by the usage of parallel algorithms in image filtering processes. We present a method based on multithreading and the division of the image for rectangles. The filter is applied parallel on each part of the image. Results show that in some cases our proposition can bring over 90 \% benefit when compared to the classical approach.",
keywords = "Image filtering, Laplacian, Multithreading, Parallel programming",
author = "Kamil Ksiazek and Zbigniew Marsza{\l}ek and Giacomo Capizzi and Christian Napoli and Dawid Po{\l}apl and Marcin Wo{\'z}niak",
note = "Publisher Copyright: {\textcopyright} 2018 Polish Information Processing Society.; 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018 ; Conference date: 09-09-2018 Through 12-09-2018",
year = "2018",
month = oct,
day = "26",
doi = "10.15439/2018F71",
language = "English",
series = "Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "545--550",
editor = "Maria Ganzha and Leszek Maciaszek and Leszek Maciaszek and Marcin Paprzycki",
booktitle = "Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018",
address = "United States",
}