A Comparative Study of Classical and Fuzzy Filters for Impulse Noise Reduction
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Abstract
Different types of noise frequently contaminate images. Impulsive noise is one such noise, which may affect images at the time of acquisition due to noisy sensors or at the time of transmission due to channel errors or in storage media due to faulty hardware. Removing or reducing impulse noise is a very active research area in image processing. In this paper we present the results of a comparative study of classical and fuzzy filters for all type of impulse noise reduction. The discussed fuzzy filters are classified and their performance is compared with classical filters and evaluated by numerical and visual experiments.
Keywords: Fuzzy filter, image processing, impulse noise, membership functions, noise reduction.
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