Title :
The rational filter for image smoothing
Author :
Ramponi, Giovanni
Author_Institution :
Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
fDate :
3/1/1996 12:00:00 AM
Abstract :
A nonlinear operator is presented that is able to effectively attenuate the noise that corrupts an image while introducing small distortions on the image details. It is described by a rational function, i.e., by the ratio of two polynomials in the input variables. Notwithstanding its simplicity, this operator proves to be more powerful than conventional methods for many noise distributions.
Keywords :
image processing; noise; polynomials; smoothing methods; image distortions; image smoothing; input variables; noise attenuation; noise corrupted image; noise distributions; nonlinear operator; polynomials; ratio; rational filter; rational function; Cutoff frequency; Digital signal processing; Filtering; Image processing; Input variables; Nonlinear distortion; Nonlinear filters; Polynomials; Smoothing methods; Statistical distributions;
Journal_Title :
Signal Processing Letters, IEEE
