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Proceedings Paper

Application of kernel density estimation for color image filtering
Author(s): Bogdan Smolka; Rastislav Lukac; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos
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Paper 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 filter window by means of the kernel density estimation method. A quantitative comparison of the proposed filter with the vector median filter shows its excellent ability to reduce noise while simultaneously preserving fine image details.

Paper Details

Date Published: 23 June 2003
PDF: 7 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503191
Show Author Affiliations
Bogdan Smolka, Silesian Univ. of Technology (Poland)
Rastislav Lukac, Slovak Image Processing Ctr. (Slovak Republic)
Konstantinos N. Plataniotis, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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