Title :
New class of impulsive noise reduction filters based on kernel density estimation
Author :
Smolka, B. ; Plataniotis, K.N. ; Lukac, R. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
Abstract :
The 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.
Keywords :
filtering theory; image colour analysis; image denoising; impulse noise; interference suppression; median filters; parameter estimation; statistical distributions; color images; filter window; image detail preservation; impulsive noise reduction filters; kernel density estimation; probability density function; statistical distribution; vector median filter; Color; Colored noise; Filtering; Filters; Histograms; Kernel; Multidimensional systems; Noise reduction; Probability density function; Shape;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199576
