Identifying and removal of impulse noise with fuzzy certainty degree
Sagenela Vijaya Kumar, C.H. Nagaraju · 2016
Numerous techniques are proposed for impulse noise removal. However, they are hard to keep excellent denoising performance with high computational power. In response to this difficulty, this paper presents a new fast fuzzy filter to recognize and expel the impulse noise. First fuzzy based filter distinguishes the pixels debased by impulse noise. A fuzzy weighted mean method is applied to supplement corrupted pixel. The exploratory results demonstrate that the proposed technique gives better results contrast with other switching filters if the noise levels are beneath the 50%.