Motion-preserving ranked-order filters for image sequence processing

A class of ranked-order-based filters for the noise suppression of time-varying imagery is introduced. These temporal filters efficiently preserve image structures under motion without motion compensation preprocessing. It is shown that spatio-temporal multistage median filters (MMFs) allow for a significant improvement over both spatial MMFs and temporal median filters in image resolution and noise suppression.<<ETX>>

[1]  Thomas S. Huang,et al.  Image Sequence Processing and Dynamic Scene Analysis , 1983, NATO ASI Series.

[2]  Gonzalo R. Arce,et al.  Detail-preserving ranked-order based filters for image processing , 1989, IEEE Trans. Acoust. Speech Signal Process..

[3]  G. Arce,et al.  State description for the root-signal set of median filters , 1982 .

[4]  J. Robson.  Spatial and Temporal Contrast-Sensitivity Functions of the Visual System , 1966 .

[5]  N. Gallagher,et al.  An application of median filters to digital television , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.