@inproceedings{5919c9bfc76d4b828d62078a736ae7b9,
title = "Fast similarity based impulsive noise reduction technique for color image",
abstract = "In this paper a new approach to the problem of impulsive noise reduction in color images based on nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The new method is faster than the vector median filter and preserves better edges and fine image details. Simulation results show that the proposed method outperforms standard algorithms of the reduction of impulsive noise in color images.",
keywords = "Artificial intelligence, Color, Colored noise, Filtering, Filters, Gray-scale, Information analysis, Noise measurement, Noise reduction, Pixel",
author = "B. Smolka and R. Lukac",
note = "Publisher Copyright: {\textcopyright} 2003 Faculty of Electrical Engineering and Co.; 4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications, EC-VIP-MC 2003 ; Conference date: 02-07-2003 Through 05-07-2003",
year = "2003",
doi = "10.1109/VIPMC.2003.1220470",
language = "English",
series = "Proceedings EC-VIP-MC 2003 - 4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "251--256",
editor = "Mislav Grgic and Sonja Grgic",
booktitle = "Proceedings EC-VIP-MC 2003 - 4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications",
address = "United States",
}