Image restoration techniques based on fuzzy neural networks

Science in China, Series F: Information Sciences

Volumn 45, Issue 4, 2002, Pages 273-285

  Liu, Puyin ^a   Li, Hongxing ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

FNN filter; Fuzzy neural network; Inference type FNN; Selection type FNN

Indexed keywords

EID: 29744434787     PISSN: 10092757     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Castleman, K. R., Digital Image Processing, Beijing: Tsinghua University Press, Prentice Hall, Inc., 1998.
2. Pitas, I., Venetsanopoulos, A. N., Nonlinear Digital Filters - Principles and Applications, Boston: Kluwer Academic Publishers, 1990.
3. Hardie, R. C., Barner, K. E., Rank conditional rank selection filters for signal restoration, IEEE Trans. on Image Processing, 1994, 3: 192-206.
4. Jeong, B., Lee, Y. H., Design of weighted order statistic filters using the perceptron algorithm, IEEE Trans. on Signal Process, 1994, 42: 3264-3268.
5. Ko, S. J., Lee, Y. H., Center weighted median filters and their applications to image enhancement, IEEE Trans. on Circuits and Systems, 1991, 38: 984-993.
6. Kundu, A., Mitra, S. K., Vaidyanathan, P. P., Application of two-dimensional generalized mean filtering for removal of impulse noises from images, IEEE Trans. on Acoust. Speech, Signal Processing, 1984, 32: 600-609.
7. Yin, L., Astola, J., Neuvo, Y., A new class of nonlinear filters - neural filters, IEEE Trans.on Signal Processing, 1993, 41: 1201-1222.
8. Civanlar, M. R., Trussell, H. J., Digital image restoration using fuzzy sets, IEEE Trans. on Acoust. Speech, Signal Processing, 1986, 34: 919-936.
9. Arakawa, K., Median filter based on fuzzy rules and its application to image processing, Fuzzy Sets and Systems, 1996, 77: 3-13.
10. Chen, R. C., Yu, P. T., Fuzzy selection filters for image restoration with neural learning, IEEE Trans. on Signal Processing, 1999, 47: 1446-1450.
11. Chen, R. C., Yu, P. T., Fuzzy stack filters - their definition, fundamental properties and application in image processing, IEEE Trans on Image Processing, 1996, 5: 838-854.
12. Farbiz, F., Menhaj, M. B., Motamedi, S. A. et al., A new fuzzy logic filter for image enhancement, IEEE Trans. on Systems Man. Cybernet-Part B, 2000, 30: 110-119.
13. Kuo, Y. H., Lee, C. S., Chen, C. L., High-stability AWFM filter for signal restoration and its hardware design, Fuzzy Sets and Systems, 2000, 114: 185-202.
14. Lee, C. S., Kuo, Y. H., Yu, P. T., Weighted fuzzy mean filters for image processing, Fuzzy Sets and Systems, 1997, 89: 157-180.
15. Liu Puyin, Representation of digital image by fuzzy neural networks, Fuzzy Sets and Systems, 2002(in press).
16. Russo, F., Ramponi, G., A fuzzy filter for images corrupted by impulse noise, IEEE Signal Process Lett., 1996, 3: 168-170.
17. Yang, X., Toh, P. S., Adaptive fuzzy multilevel median filter, IEEE Trans on Image Processing, 1995, 4: 680-682.
18. Liu Puyin, Li Hongxing, Approximation of generalized fuzzy system to integrable function, Science in China, Series E, 2000, 43(5): 618-628.
19. Liu Puyin, Li Hongxing, Analyses for Lp(μ)-norm approximation capability of generalized Mamdani fuzzy systems, Information Science, 2001, 138: 195-210.