Garcia-Arteaga J.D.Brieva J.Lepore N.Romero E.2020-03-262020-03-262015Proceedings of SPIE - The International Society for Optical Engineering; Vol. 968197816284191600277786Xhttps://hdl.handle.net/20.500.12585/9024Even though CT is an imaging technique that offers high quality images, limitations on its spatial resolution cause blurring in small objects with high contrast. This phenomenon is known as blooming artifact and affects cardiac images with small calcifications and stents. This paper describes an approach to reduce the blooming artifact and improve resolution in cardiac images using blind deconvolution and anisotropic diffusion filtering. Deconvolution increases resolution but reduces signal-to-noise ratio, and the anisotropic diffusion filter counteracts this effect without affecting the edges in the image. © 2015 SPIE.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObject10.1117/12.2209217Anisotropic diffusion lteringBlind deconvolutionBlooming artifactComputed tomographyBioinformaticsBiomineralizationConvolutionDiffusionImage enhancementOptical anisotropySignal to noise ratioAnisotropic diffusionAnisotropic diffusion filteringAnisotropic diffusion filtersBlind deconvolutionBlooming artifactCardiac imagesHigh quality imagesSpatial resolutionComputerized tomographyinfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB57118254200571180859005692508560057210822856