Title :
Effective impulse detector based on rank-order criteria
Author :
Aizenberg, Igor ; Butakoff, Constantine
Author_Institution :
Univ. Dortmund, Germany
fDate :
3/1/2004 12:00:00 AM
Abstract :
A new impulsive noise detection technique is presented here. Preserving edges and details in the process of impulsive noise filtering is an important problem. To avoid image smoothing, only corrupted pixels must be filtered. In order to identify the corrupted pixels, a new impulse detector is proposed. This detector is based on a comparison of signal samples within a narrow rank window by both rank and absolute value. It is efficient, very fast, and can be used with any filter (even iteratively), without smoothing an image.
Keywords :
filtering theory; impulse noise; interference suppression; median filters; sensors; signal sampling; absolute value; corrupted pixels; impulse detector; impulsive noise detection technique; impulsive noise filtering process; median filter; narrow rank window; preserving edges; rank value; rank-order criteria; signal sampling; Associate members; Brightness; Detectors; Image edge detection; Information filtering; Information filters; Nonlinear filters; Pixel; Smoothing methods; Statistics;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.822925