@InProceedings{HomemMasc:2007:StApIm,
author = "Homem, Murillo Rodrigo Petrucelli and Mascarenhas, Nelson Delfino
d'{\'A}vila",
affiliation = "Departamento de Computa{\c{c}}{\~a}o, Universidade Federal de
S{\~a}o Carlos and Departamento de Computa{\c{c}}{\~a}o,
Universidade Federal de S{\~a}o Carlos",
title = "A Statistical Approach for Image Interpolation",
booktitle = "Proceedings...",
year = "2007",
editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Statistical image interpolation, orthogonality principle.",
abstract = "Interpolation is an image processing operation for improve the
resolution of a digital image. In this work, following the
orthogonality principle, and under the assumption that the actual
image is a locally stationary random process, we propose an
alternative scheme for image interpolation. In our approach, the
computational complexity is similar to the first-order spline
algorithm. The algorithm was compared with classical B-spline
methods and also with a statistical interpolator previously
proposed in the literature. According to the normalized mean
square error criteria, the proposed method produced accurate
results.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/RvDEd",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/RvDEd",
targetfile = "interpolation-mrph.pdf",
urlaccessdate = "2025, Mar. 15"
}