@inproceedings{c29f713aa0b245ffa820903aeac6ca2a,
title = "Color image enhancement based on nonparametric density estimation",
abstract = "This paper presents a new filtering scheme for the removal of impulsive noise in color images. It is based on estimating the probability density function for color pixels in a filtering window by means of the kernel density estimation method. The filtering algorithm itself is based on the comparison of pixels with their neighborhood in a sliding filter window. The quality of noise suppression and detail preservation of the new filter is measured quantitatively in terms of the standard image quality criteria. The filtering results obtained with the new filter show its excellent ability to reduce noise while simultaneously preserving fine image details.",
keywords = "Color, Colored noise, Filtering algorithms, Filters, Image quality, Kernel, Measurement standards, Noise measurement, Noise reduction, Probability density function",
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.2003.1220474",
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 = "271--276",
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",
}