@InProceedings{Pinheiro:2015:Fi2DPr,
author = "Pinheiro, Arthur Melo",
affiliation = "{Universidade Federal de S{\~a}o Carlos}",
title = "Filtragem 2D de Proje{\c{c}}{\~o}es CT Afetadas por
Ru{\'{\i}}do Poisson",
booktitle = "Proceedings...",
year = "2015",
editor = "Rios, Ricardo Araujo and Paiva, Afonso",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Sinogram filtering, Poisson noise, CT images.",
abstract = "The diagnostic imaging by computed tomography has become popular
in recent decades, causing concerns about the exposure of the
human body to high doses of X-rays, which may cause cancer. Faced
with this problem, studies are conducted with the objective of
minimizing the dose of X-rays and maintain image quality since
image degradation by noise reduction is proportional to the dose
of X-rays. This paper proposes a methodology for 2D filtering
noise made by Poisson projections using as a priori knowledge to
the Wiener filter the result of filtering the projections by
non-local filters after the stabilization of the noise variance by
Anscombe transform.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "pt",
ibi = "8JMKD3MGPBW34M/3JRQHJ5",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRQHJ5",
targetfile = "Filtragem 2D de Proje{\c{c}}{\~o}es CT Afetadas por
Ru{\'{\i}}do Poisson.pdf",
urlaccessdate = "2024, May 05"
}