@inproceedings{1937ba406c664a48bb889dad62fdf5d4,
title = "Random walk approach to noise reduction in color images",
abstract = "In this paper we propose a new algorithm of noise reduction in color images. The new technique of image enhancement is capable of reducing impulsive and Gaussian noise and it outperforms the standard methods of noise reduction. In the paper a smoothing operator, based on a random walk model and on a fuzzy similarity measure between pixels connected by a digital self avoiding path is introduced. The efficiency of the proposed method was tested on the test color image using the objective image quality measures and the results show that the new method outperforms standard noise reduction algorithms.",
keywords = "Noise reduction, Random walk",
author = "B. Smolka and M. Szczepanski and Plataniotis, \{K. N.\} and Venetsanopoulos, \{A. N.\}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001 ; Conference date: 05-09-2001 Through 07-09-2001",
year = "2001",
doi = "10.1007/3-540-44692-3\_64",
language = "English",
isbn = "9783540425137",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "527--536",
editor = "Wladyslaw Skarbek",
booktitle = "Computer Analysis of Images and Patterns - 9th International Conference, CAIP 2001, Proceedings",
address = "Germany",
}