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Proceedings Paper

Three-dimensional entropy vector median filter for color video filtering
Author(s): Rastislav Lukac; Bogdan Smolka; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos
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Paper Abstract

We provide a new non-motion compensated adaptive multichannel filter for the detection and removal of impulsive noise, bit errors and outliers in color video or color image sequences. The proposed nonlinear filter takes the advantages of the concept of the local entropy contrast and the robust order-statistics theory. The new entropy based vector median is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of standard vector median filter. Because the precision of statistical operators such as mean or entropy increases with the increased number of observed samples, the used spatiotemporal cube filter window guarantees a high accuracy of the proposed method that is able to achieve excellent results in terms of commonly used objective measures and clearly outperforms standard vector filtering schemes

Paper Details

Date Published: 23 June 2003
PDF: 8 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503178
Show Author Affiliations
Rastislav Lukac, Slovak Image Processing Center (Slovak Republic)
Bogdan Smolka, Silesian Univ. of Technology (Poland)
Konstantinos N. Plataniotis, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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