Abstract
This investigation presents a fuzzy filtering method for the removal of salt-and-pepper noise of a corrupted image which is caused by the corruption of impulse noise in the record or transmission process. This fuzzy filtering method comprise with a size adjustable local window which is used to analyze each extreme pixel (0 or 255 for an 8 bits gray-level image) and a fuzzy smoother which can interpolate non-extreme values inside the local window to construct a noiseless center pixel. By the help of the proposed fuzzy filtering method, the center pixel with an extreme value is replaced by the fuzzy interpolation value and enables noisy pixels to be restored smoothly and continuously. From the tough tests, experimental results reveal the fact that salt-and-pepper noises (only for known extreme values 0 and 255) of a corrupted image for different noise corruption densities (from 10 to 90%) can the efficiently removed via the universal interpolation ability of the proposed fuzzy filtering method; meanwhile, the denoised image is free from the blurred effect.
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This research was supported by the Ministry of Science and Technology, Taiwan, under contract number MOST 104-2628-E-006-012-MY3, and MOST 104-2221-E-468-007.
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Chen, YY., Lu, CT., Chang, PY. (2018). Enhancement of Salt-and-Pepper Noise Corrupted Images Using Fuzzy Filter Design. In: Yen, N., Hung, J. (eds) Frontier Computing. FC 2016. Lecture Notes in Electrical Engineering, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-10-3187-8_65
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DOI: https://doi.org/10.1007/978-981-10-3187-8_65
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