Autocorrelation-Driven Diffusion Filtering

Authors:
M. Felsberg
Affiliations:
Dept. of Elec trical Eng., Linkoping Univ., Linkoping, Sweden
Venue:
IEEE Transactions on Image Processing
Year:
2011

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Abstract

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.