Impulse Noise Removal Using Fuzzy Switching Median Filter
نویسندگان
چکیده
Elimination of noise is a necessary and challengeable operation in image processing. Before performing any operation, images have to be first restored. Images are corrupted by noise during image acquirement and transmission. Noise and blurring effects always corrupts any recorded image. To reduce the impulse noise level in digital images a novel algorithm FSM(Fuzzy Switching Median) filter is proposed in this paper .In this algorithm first phase is used to detect the impulse noise using clustered based approach, which works as impulse noise detector. And the second phase which is also called as filtering phase replaces the detected noise pixel, which also includes fuzzy reasoning to deal with uncertainties present in local information FSM, is capable of filtering all types of impulse noise.
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