Corrupted A Fuzzy Filter for Images by Impulse Noise
F. Russo, Giovanni Ramponi · 1996
A new operator is presented which adopts a fuzzy logic approach for the enhancement of images corrupted by impulse noise. The proposed operator is based on two-step fuzzy reasoning, and it is able to perform a very strong noise cancel- lation while preserving image details very well. The new fuzzy filter is favorably compared with other nonlinear operators in the literature. ONLINEAR techniques for image enhancement are ac- quiring growing importance due to their specific ability to perform an effective noise cancellation without degrading the image structure. In this framework, methods based on fuzzy logic are emerging as a valuable resource: indeed, a family of operators based on fuzzy rules has been recently introduced for image filtering and enhancement ( 11-(4). Other techniques still resorting to fuzzy logic have been very recently proposed in the same application area (5)-(8). In this letter, a new fuzzy operator is presented for the suppression of impulse noise: this operator is based on the approach proposed in (4) and is able to perform a very strong noise cancellation while preserving image details very well. As it will be shown, this behavior is obtained by suitably implementing fuzzy reasoning at two different stages.