@inproceedings{ea0ffd5b93ac41ab8285ae08fa8a33d8,
title = "Robust Trilateral Filtering with Reachability-Based Impulse Detection for Mixed Noise Removal",
abstract = "In this paper, a new color image denoising filter is proposed with the goal of efficiently eliminating mixed noise consisting of Gaussian and impulsive noise. The new approach builds upon the trilateral filtering concept by introducing a sophisticated impulse detection strategy founded on a generalized reachability notion and an enhanced Rank-Ordered Absolute Differences similarity metric. In order to enhance the accuracy of impulse detection even more, in a preprocessing stage, a bilateral filter is employed to suppress Gaussian noise without hindering structural details. Experimental evaluation on benchmark test images reveals that the presented technique performs better than state-of-The-Art techniques as far as denoising quality is concerned.",
keywords = "gaussian noise, image denoising, impulsive noise, impulsive noise, mixed noise, robust filter, trilateral filter",
author = "Damian Kusnik and Bogdan Smolka",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; International Conference on Recent Advances in Mathematics and Informatics, ICRAMI 2025 ; Conference date: 20-11-2025 Through 23-11-2025",
year = "2025",
doi = "10.1109/ICRAMI64946.2025.11472768",
language = "English",
series = "ICRAMI 2025 - 2025 International Conference on Recent Advances in Mathematics and Informatics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Chaouki Aouiti and Patnaik Srikanta and Khaled Berrah and Hakim Bendjenna and Abdallah Meraoumia and Mohamed Gasmi",
booktitle = "ICRAMI 2025 - 2025 International Conference on Recent Advances in Mathematics and Informatics",
address = "United States",
}