Autocorrelation-Driven Diffusion Filtering

Felsberg, Michael, 1974- (author): Linköpings universitet,Tekniska högskolan,Bildbehandling,Centrum för medicinsk bildvetenskap och visualisering, CMIV

(creator_code:org_t)

IEEE Press, 2011
2011
English.
In: IEEE Transactions on Image Processing. - : IEEE Press. - 1057-7149 .- 1941-0042. ; 20:7, s. 1797-1806

Related links:: https://liu.diva-por... (primary) (Raw object); show more...; https://liu.diva-por...; https://liu.diva-por...; https://urn.kb.se/re...; https://doi.org/10.1...; https://urn.kb.se/re...; show less...

Abstract Subject headings

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.

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Vision ...

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