Abstract
In this paper, we propose a novel Neural Fuzzy Filter (NFF) to remove impulse noise from highly corrupted images. The proposed filter consists of a fuzzy number construction process, a neural fuzzy filtering process and an image knowledge base. First, the fuzzy number construction process will receive sample images or the noise-free image, then construct an image knowledge base for the neural fuzzy filtering process. Second, the neural fuzzy filtering process contains of a neural fuzzy mechanism, a fuzzy mean process, and a fuzzy decision process to perform the task of impulse noise removing. By the experimental results, NFF achieves better performance than the state-of-the-art filters based on the criteria of Mean-Square-Error (MSE). On the subjective evaluation of those filtered images, NFF also results in a higher quality of global restoration.
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References
Arakawa, K.: Median Filter Based on Fuzzy Rules and Its Application to Image Restoration. Fuzzy Sets and Systems 77, 3–13 (1996)
Abreu, E., Mitra, S.K.: A Signal-Dependent Rank Ordered Mean (SD-ROM) Filter. In: Speech and Signal Processing, ICASSP 1995, Detroit, Michigan (1995)
Lee, C.S., Kuo, Y.H.: The Important Properties and Applications of AWFM Filter. International Journal of Intelligent Systems 14, 253–274 (1999)
Russo, F.: Hybrid Neuro-fuzzy Filter for Impulse Noise Removal. Pattern Recognition 32, 307–314 (1999)
Wang, J.H., Liu, W.J., Lin, L.D.: Histogram-Based Fuzzy Filter for Image Restoration. IEEE Trans. on System, Man and Cybernetics 32, 230–238 (2002)
Pok, G., Liu, J.C., Nair, A.S.: Selective Removal of Impulse Noise Based on Homogeneity Level Information. IEEE Trans. on Image Processing 12(1), 85–92 (2003)
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© 2004 Springer-Verlag Berlin Heidelberg
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Lee, CS., Guo, SM., Hsu, CY. (2004). A Novel Fuzzy Filter for Impulse Noise Removal. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_59
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DOI: https://doi.org/10.1007/978-3-540-28648-6_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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