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A Compact Wavelet Index for Retrieval in Image Database
Venice, Italy September 27-September 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.79771410th International Conference on Imag ...
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Maria Grazia Albanesi, Marco Ferretti, Alessandro Giancane, "A Compact Wavelet Index for Retrieval in Image Database," Image Analysis and Processing, International Conference on, pp. 927, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999.
 
 
BibTex
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@article{ 10.1109/ICIAP.1999.797714,
author = {Maria Grazia Albanesi and Marco Ferretti and Alessandro Giancane},
title = {A Compact Wavelet Index for Retrieval in Image Database},
journal ={Image Analysis and Processing, International Conference on},
volume = {0},
year = {1999},
isbn = {0-7695-0040-4},
pages = {927},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797714},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Image Analysis and Processing, International Conference on
TI - A Compact Wavelet Index for Retrieval in Image Database
SN - 0-7695-0040-4
SP
EP
A1 - Maria Grazia Albanesi,
A1 - Marco Ferretti,
A1 - Alessandro Giancane,
PY - 1999
VL - 0
JA - Image Analysis and Processing, International Conference on
ER -
 
Maria Grazia Albanesi, University of Pavia
Marco Ferretti, University of Pavia
Alessandro Giancane, University of Pavia
In this paper, we present an algorithm to build an index for image retrieval that heavily exploits the wavelet multi-resolution decomposition. The index can be constructed using alternative levels in the multi-resolution decomposition; it is based on the correlation between the scaled-down approximation image and its reconstruction obtained using only one level in the hierarchy of detail images.The method has been tested on RBG and YUV color spaces on a database of 167 images with good results. The effect of white, gaussian noise is negligible, because the wavelet approximation smoothes off this kind of noise. The method is more sensitive to geometric distortion noise.
Citation:
Maria Grazia Albanesi, Marco Ferretti, Alessandro Giancane, "A Compact Wavelet Index for Retrieval in Image Database," iciap, pp.927, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999
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