A new impulse detector for switching median filters

A new impulse noise detection technique for switching median filters is presented, which is based on the minimum absolute value of four convolutions obtained using one-dimensional Laplacian operators. Extensive simulations show that the proposed filter provides better performance than many of the ex...

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Veröffentlicht in:	IEEE signal processing letters 2002-11, Vol.9 (11), p.360-363
Hauptverfasser:	Shuqun Zhang, Karim, M.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computation Computational complexity Computational modeling Computer simulation Convolution Detectors Filters Image edge detection Impulses Kernel Laplace equations Noise Object detection Operators Pixel Samarium Signal processing Switching
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Beschreibung
Zusammenfassung:	A new impulse noise detection technique for switching median filters is presented, which is based on the minimum absolute value of four convolutions obtained using one-dimensional Laplacian operators. Extensive simulations show that the proposed filter provides better performance than many of the existing switching median filters with comparable computational complexity. In particular, the proposed filter is directed toward improved line preservation.
ISSN:	1070-9908 1558-2361
DOI:	10.1109/LSP.2002.805310