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New class of impulsive noise reduction filters based on kernel density estimation

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4 Author(s)
Smolka, B. ; Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland ; Plataniotis, K.N. ; Lukac, R. ; Venetsanopoulos, A.N.

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.

Published in:
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:3 )

Date of Conference: 6-10 April 2003

Page(s):
III - 721-4 vol.3
ISSN :
1520-6149
Print ISBN:
0-7803-7663-3
INSPEC Accession Number:
7803967
Digital Object Identifier :
10.1109/ICASSP.2003.1199576
Product Type:
Conference Publications

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