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Autocorrelation-Driven Diffusion Filtering

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1 Author(s)
Felsberg, M. ; Dept. of Elec trical Eng., Linkoping Univ., Linkoping, Sweden

In this paper, we present a novel scheme for anisotropic diffusion driven by the image autocorrelation function. We show the equivalence of this scheme to a special case of iterated adaptive filtering. By determining the diffusion tensor field from an autocorrelation estimate, we obtain an evolution equation that is computed from a scalar product of diffusion tensor and the image Hessian. We propose further a set of filters to approximate the Hessian on a minimized spatial support. On standard benchmarks, the resulting method performs favorable in many cases, in particular at low noise levels. In a GPU implementation, video real-time performance is easily achieved.

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Image Processing, IEEE Transactions on  (Volume:20 ,  Issue: 7 )