The rational filter for image smoothing
- 1 March 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 3 (3), 63-65
- https://doi.org/10.1109/97.481156
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
This publication has 10 references indexed in Scilit:
- A rational edge-preserving smootherPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Analysis of two-dimensional center weighted median filtersMultidimensional Systems and Signal Processing, 1995
- A structure for adaptive order statistics filteringIEEE Transactions on Image Processing, 1994
- Center weighted median filters: Some properties and their applications in image processingSignal Processing, 1994
- Detection and estimation using an adaptive rational function filterIEEE Transactions on Signal Processing, 1994
- Center weighted median filters and their applications to image enhancementIEEE Transactions on Circuits and Systems, 1991
- A quantitative comparison of edge-preserving smoothing techniquesSignal Processing, 1990
- Alpha-trimmed means and their relationship to median filtersIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984
- Digital image smoothing and the sigma filterComputer Vision, Graphics, and Image Processing, 1983
- Gradient inverse weighted smoothing scheme and the evaluation of its performanceComputer Graphics and Image Processing, 1981