Fast Adaptive Elliptical Filtering Using Box Splines

We demonstrate that it is possible to filter all 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 me,h. 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 sire 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.


Published in:
2008 Ieee International Conference On Image Processing, Proceedings, 789-792
Presented at:
IEEE International Conference on Image Processing (ICIP 2008), San Diego, CA, Oct 12-15, 2008
Year:
2008
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-1764-3
Keywords:
Laboratories:




 Record created 2012-06-12, last modified 2018-01-28

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