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dc.contributor.authorKozaitis, S.P.
dc.contributor.authorIngun, Anurat
dc.contributor.authorCofer, Rufus H.
dc.date.accessioned2017-10-02T17:05:44Z
dc.date.available2017-10-02T17:05:44Z
dc.date.issued2003-09-12
dc.identifier.citationKozaitis, S. P., Ingun, A., & Cofer, R. H. (2003). Reduction of multiplicative noise using higher-order statistics. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5095 119-125en_US
dc.identifier.urihttp://hdl.handle.net/11141/1667
dc.descriptionDenoising, Higher-order statistics, Wavelet transformen_US
dc.description.abstractWe used a higher-order correlation-based method for signal denoising of images corrupted by multiplicative noise. Using the logarithm of an image, we applied a third-order correlation technique for identification of wavelet coefficients that contained mostly signal. In our approach, we examined wavelet coefficients in an environment where the contribution from the second-order moment of the noise had been reduced. Our results compared favorably and were less sensitive to threshold selection when compared to a second-order wavelet denoising method.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleReduction of multiplicative noise using higher-order statisticsen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.487754


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