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