Demonstrates the use of saddle-node dynamics for edge-preserving and scale-space filtering. The filter is derived from the maximum entropy principle and an analogy with statistical physics. The filter is governed by a single scale parameter which dictates the spatial extent of nearby data used for determining the output. This filter is thus highly adaptive and data-driven. It provides a mechanism for a) removing impulsive noise; b) improved smoothing of nonimpulsive noise and c) preserving edges. Comparisons with conventional techniques are made using real images.<>
Saddle-node dynamics for edge-preserving and scale-space filtering
Proceedings of 1st International Conference on Image Processing ; 1 ; 840-844 vol.1
01.01.1994
324691 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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