Application of kernel density estimation for color image filtering

Bogdan Smolka; Rastislav Lukac; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos

doi:10.1117/12.503191

23 June 2003 Application of kernel density estimation for color image filtering

Bogdan Smolka, Rastislav Lukac, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503191
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

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.

Citation Download Citation

Bogdan Smolka, Rastislav Lukac, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos "Application of kernel density estimation for color image filtering", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503191

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