Application of kernel density estimation for color image filtering
Bogdan Smołka, Rastislav Lukàč, Konstantinos N. Plataniotis, A.N. Venetsanopoulos · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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.