@inproceedings{06050273d81348509601cc03a40b9912,
title = "An enhanced GridLOF approach for image filtering",
abstract = "As image noise filtering is very important to consider in many applications. Many research efforts have been seen in the literature trying to tackle its challenges. Among these research efforts are outlier detection approaches. However, there is still a need to extend these approaches in order to attain an improved performance. In this paper, an image noise filtering approach is proposed. The proposed approach use a boosted type of GRIDLOF algorithm proposed in a previous work. The efficiency of the proposed approach is assessed through simulations. The simulations results demonstrate that the developed approach overtakes other approaches in the literature.",
keywords = "Anomaly Detection, GridLOF, LOF, Noise Filtering",
author = "Elmogy, \{Ahmed M.\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd IEEE International Conference on Electronic Engineering, ICEEM 2021 ; Conference date: 03-07-2021 Through 04-07-2021",
year = "2021",
month = jul,
day = "3",
doi = "10.1109/ICEEM52022.2021.9480382",
language = "English",
series = "ICEEM 2021 - 2nd IEEE International Conference on Electronic Engineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICEEM 2021 - 2nd IEEE International Conference on Electronic Engineering",
address = "United States",
}