论文信息 - The rational filter for image smoothing

The rational filter for image smoothing

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.

Giovanni Ramponi | G. Ramponi

[1] Sung-Jea Ko,et al. Center weighted median filters and their applications to image enhancement , 1991 .

[2] J. Bednar,et al. Alpha-trimmed means and their relationship to median filters , 1984 .

[3] Henry Leung,et al. Detection and estimation using an adaptive rational function filter , 1994, IEEE Trans. Signal Process..

[4] Giovanni Ramponi,et al. A rational edge-preserving smoother , 1995, Proceedings., International Conference on Image Processing.

[5] Moncef Gabbouj,et al. Center weighted median filters: Some properties and their applications in image processing , 1994, Signal Process..

[6] Saleem A. Kassam,et al. A structure for adaptive order statistics filtering , 1994, IEEE Trans. Image Process..

[7] David C. Wang,et al. Gradient inverse weighted smoothing scheme and the evaluation of its performance , 1981 .

[8] Moncef Gabbouj,et al. Analysis of two-dimensional center weighted median filters , 1995, Multidimens. Syst. Signal Process..

[9] J. M. Hans du Buf,et al. A quantitative comparison of edge-preserving smoothing techniques , 1990, Signal Process..

[10] Jong-Sen Lee,et al. Digital image smoothing and the sigma filter , 1983, Comput. Vis. Graph. Image Process..