On description of impulsive noise removal using PWL filter model
نویسندگان
چکیده
The classical method for impulsive noise removal in image signals consists of two steps, i.e., a step for impulse detection and a step for estimation of the pixels corrupted by impulsive noise. In this paper, we show that the step of impulse detection can be described very suitably by piecewise-linear (PWL) functions which explains intuitively the process of detection as a partition of the signal domain space. A PWL lter model is then proposed. In such a lter model, we can use either a linear or a nonlinear sub lter to estimate the corrupted pixels. For the latter, using a median sub lter yields a multilevel PWL lter. The lter model is simulated and its excellent result is compared to that of a median lter.
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