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dc.contributor.authorKozaitis, S.P.
dc.contributor.authorKim, Sunghee
dc.date.accessioned2017-10-02T20:28:10Z
dc.date.available2017-10-02T20:28:10Z
dc.date.issued2003-04-01
dc.identifier.citationKozaitis, S. P., & Kim, S. (2003). Denoising using higher-order statistics. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5102 37-44.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1684
dc.descriptionDenoising Higher-order statistics Wavelet transformen_US
dc.description.abstractWe used a higher-order correlation-based method for signal denoising. In our approach, we determined which wavelet coefficients contained mostly noise, or signal, based on higher-order statistics. Because the higher that second-order moments of the Gaussian probability function are zero, the third-order correlation coefficient will not have a statistical contribution from Gaussian noise. We obtained results for both 1-D signals and images. In all cases, our approach showed improved results when compared to a more popular 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.titleDenoising using higher-order statisticsen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.485722


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