Noise Removal from Images
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|J. A. Sethian|
|A paper and movie on noise removal. Level Set Methods exploit the fact that curves moving under their curvature smooth out and disappear. The idea is to view the pixel values as a topographic map; the intensity (somewhere between white and black) at each pixel is the height of the surface at that point. Suppose we then let each contour undergo motion by curvature. Then very small contours, corresponding to spikes of noise, will disappear quickly. Better yet, the boundaries will remain sharp, since they will not blur under this motion, and instead only move according to their curvature....|
|Resource Types:||Video, Articles|
|Math Topics:||Differential Geometry|
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