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Wavelet Diffusion for Document Image Denoising
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227845Seventh International Conference on D ...
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Lixin Fan, Liying Fan, Chew Lim Tan, "Wavelet Diffusion for Document Image Denoising," Document Analysis and Recognition, International Conference on, vol. 2, pp. 1188, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.
 
 
BibTex
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@article{ 10.1109/ICDAR.2003.1227845,
author = {Lixin Fan and Liying Fan and Chew Lim Tan},
title = {Wavelet Diffusion for Document Image Denoising},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {2003},
isbn = {0-7695-1960-1},
pages = {1188},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227845},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Wavelet Diffusion for Document Image Denoising
SN - 0-7695-1960-1
SP
EP
A1 - Lixin Fan,
A1 - Liying Fan,
A1 - Chew Lim Tan,
PY - 2003
KW - null
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
Lixin Fan, Xerox Research Centre Europe
Liying Fan, National University of Singapore
Chew Lim Tan, National University of Singapore
To distinguish image features from high level noises, we propose to exploit the spatial correlations between wavelet coefficients by replacing the thresholding process with a diffusion process. The proposed smoothing method is more robust to noise when applied to highly corrupted document images.
Citation:
Lixin Fan, Liying Fan, Chew Lim Tan, "Wavelet Diffusion for Document Image Denoising," icdar, vol. 2, pp.1188, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
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