@InProceedings{JungScha:2001:AdImDe,
author = "Jung, C. R. and Scharcanski, J.",
title = "Adaptive image denoising in scale-space using the wavelet
transform",
booktitle = "Proceedings...",
year = "2001",
editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
pages = "172--178",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Florian{\'o}polis, SC, Brazil, from
October 15 to 18.",
keywords = "denoising, edge detection, multiresolution analysis, wavelet
shrinkage.",
abstract = "This paper proposes a new method for image denoising with edge
preservation using the wavelet transform. At each resolution of
the wavelet transform, the coefficients associated do noise and
coefficients associated to edges are modeled by Gaussians, and a
shrinkage function is assembled. These shrinkage functions are
combined in consecutive resolutions, and geometric constraints are
applied to preserve edges that are not isolated. The proposed
method is adaptive, and performs well for images contaminated by
natural and artificial noise.",
conference-location = "Florian{\'o}polis, SC, Brazil",
conference-year = "15-18 Oct. 2001",
doi = "10.1109/SIBGRAPI.2001.963052",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963052",
language = "en",
organisation = "SBC - Brazilian Computer Society",
ibi = "6qtX3pFwXQZeBBx/wkxGv",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wkxGv",
targetfile = "172-178.pdf",
urlaccessdate = "2024, May 01"
}