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Satellite Image Contrast Enhancement using Multiwavelets and Singular value Decomposition (SVD)
International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 35 - Number 7
Year of Publication: 2011
|
10.5120/4410-6128 |
Sulochana S. and Vidhya R.. Article: Satellite Image Contrast Enhancement using Multiwavelets and Singular value Decomposition (SVD). International Journal of Computer Applications 35(7):1-5, December 2011. Full text available. BibTeX
@article{key:article,
author = {Sulochana S. and Vidhya R.},
title = {Article: Satellite Image Contrast Enhancement using Multiwavelets and Singular value Decomposition (SVD)},
journal = {International Journal of Computer Applications},
year = {2011},
volume = {35},
number = {7},
pages = {1-5},
month = {December},
note = {Full text available}
}
Abstract
In this letter, a new satellite image contrast enhancement technique based on M- band wavelet transform and singular value decomposition has been proposed. The images decomposed into one low frequency and fifteen high frequency sub bands using M-band wavelet transform and estimates the singular value matrix of the low frequency subband, and, then reconstructs the enhanced image by applying inverse transform. This technique is compared with conventional image equalization techniques such as DWT and generalized histogram equalization (GHE). The experimental results show the proposed method gives good results over conventional methods.
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