@InProceedings{AcevedoRued:2005:ReInCo,
author = "Acevedo, Daniel Germ{\'a}n and Ruedin, Ana Mar{\'{\i}}a Clara",
affiliation = "{University of Buenos Aires}",
title = "Reduction of interband correlation for Landsat image
compression.",
booktitle = "Proceedings...",
year = "2005",
editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro
C{\'e}sar",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Multispectral satellite image, correlation, wavelet, lossless
compression.",
abstract = "We present a lossless compressor for multispectral images that
exploits interband correlations. Each band is divided into blocks,
to which a wavelet transform is applied. The wavelet coefficients
are predicted by means of a linear combination of coefficients
belonging to the same orientation and spatial location. The
prediction errors are then encoded with an entropy - based coder.
Our original contributions are i) the inclusion, among the
candidates for prediction, of coefficients of the same location
from other spectral bands, ii) the calculation of weights tuned to
the landscape being processed, iii) a fast block classification
and a different band-ordering for each landscape. Our compressor
reduces the size of an image to about a fourth of its original
size. Our method is equivalent to LOCO-I, on 3 of the images
tested it was superior. It is superior to other lossless
compressors: WinZip, JPEG2000 and PNG.",
conference-location = "Natal, RN, Brazil",
conference-year = "9-12 Oct. 2005",
doi = "10.1109/SIBGRAPI.2005.43",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.43",
language = "en",
ibi = "6qtX3pFwXQZeBBx/GJRvR",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GJRvR",
targetfile = "acevedod_lsatcompression.pdf",
urlaccessdate = "2024, Apr. 27"
}