New color image impulsive noise reduction algorithm

• Autorzy: Smolka, B. , Wojciechowski, K. , Plataniotis, K. N. , Venetsanopoulos, A. N.
• Języki publikacji: EN

Abstrakty

EN

In this paper a new approach to the problem of impulsive noise reduction for color images is introduced. The presented self-adaptive image filter is based on a model of a virtual particle, which performs a random walk on the image lattice, with transition probabilities derived from the Gibbs distribution. The major advantage of the new filtering technique, is that it filters out the noise component, while adapting itself to the local image structures. In this way the new algorithm is able to eliminate strong impulsive noise, while preserving edges and fine image details. As the algorithm is a fuzzy modification of the commonly used vector median operator, it is very fast and easy to implement. Our results show that the proposed method outperforms all standard algorithms of the reduction of impulsive noise in color images.

Słowa kluczowe

PL

przetwarzanie obrazu kolorowego; filtry wielokanałowe; hałas impulsowy; techniki adaptacyjne

EN

color image processing; multichannel filters; impulsive noise; adaptive techniques

• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2000
• Tom: Vol. 1
• Strony: IT 87--90
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Smolka, B.

• Silesian Technical University, Department of Computer Science, Akademicka 16 44-101 Gliwice, Poland,

autor

Wojciechowski, K.

• Silesian Technical University, Department of Computer Science, Akademicka 16 44-101 Gliwice, Poland

autor

Plataniotis, K. N.

• Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, M5S 3G4, Canada,

autor

Venetsanopoulos, A. N.

• Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, M5S 3G4, Canada