A neural network adaptive filter for the removal of impulse noise in digital images

Neural Networks

Volumn 9, Issue 3, 1996, Pages 373-378

  Kong, H ^a   Guan, L ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b NONE

Author keywords

Adaptive filtering; Image processing; Impulse noise removal; Self organising neural network

Indexed keywords

ADAPTIVE FILTERING; IMAGE PROCESSING; IMAGE QUALITY; INTERFERENCE SUPPRESSION; MATHEMATICAL MODELS; PROBABILITY; STATISTICAL METHODS;

IMPULSE NOISE REMOVAL; NEURAL NETWORK ADAPTIVE FILTER; SELF ORGANIZING NEURAL NETWORK;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; IMAGE PROCESSING; PRIORITY JOURNAL; REVIEW;

EID: 0030130741     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(95)00128-X     Document Type: Article

References (9)

1. Arce, G. R., & McLoughlin, M. P. (1987). Theoretical analysis of max/median filters. IEEE Transactions, Acoustics, Speech, Signal Processing, ASSP-35(1), Jan., 60-69.
2. Brownrigg, D. R. K. (1984). The weighted median filter. Comm. ACM, 27, (Aug.) 807-818,
3. Carpenter, G. A., & Grossberg, S. (1987). A massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Vision, Graphics and Image Processing, 37, 54-115.
4. Justusson, B. I. (1981). Median filtering: Statistical properties. In T. S. Huang (Ed.), Two-dimensional digital signal processing II. New York: Springer-Verlag.
5. Kohonen, T. (1988). Self-organization and associative memory, 2nd ed. New York: Springer-Verlag.
6. Ko, S. J., & Lee, Y. H. (1991). Center weighted median filters and their applications to image enhancement. IEEE Transactions on Circuits Systems, 38(9), 984-993.
7. Nieminen, A., Heinonen, P., & Neuvo, Y. (1987). A new class of detail-preserving filters for image processing. IEEE Transactions Pattern Analysis Machine Intelligence, PAMI-9(1) (Jan.), 74-90.
8. Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.
9. Yli-Harja, O., Astola, J & Neuvo, Y. (1991). Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation. IEEE Transactions on Signal Processing, 39(2), (Feb.), 395-410.