Fast Adaptive Elliptical Filtering Using Box Splines

We demonstrate that it is possible to filter an image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method involves the application of a suitable global pre-integrator followed by a pointwise-adaptive localization mesh. We present the basic theory for the 1D case using a B-spline formalism and then appropriately extend it to 2D using radially-uniform box splines. The size and ellipticity of these radially-uniform box splines is adaptively controlled. Moreover, they converge to Gaussians as the order increases. Finally, we present a fast and practical directional filtering algorithm that has the capability of adapting to the local image features.

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Proceedings of the 2008 IEEE International Conference on Image Processing (ICIP'08), San Diego CA, USA, 785–788

 Record created 2015-09-18, last modified 2018-01-28

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