Autocorrelation-Driven Diffusion Filtering
2011 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 20, no 7, 1797-1806 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
IEEE Press, 2011. Vol. 20, no 7, 1797-1806 p.
National CategoryEngineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-65430DOI: 10.1109/TIP.2011.2107330ISI: 000291823600003OAI: oai:DiVA.org:liu-65430DiVA: diva2:395634