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2004
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Least-squares interband denoising of color and multispectral images

12 years 9 months ago
Least-squares interband denoising of color and multispectral images
This paper exploits the interband correlations of color and multispectral images for wavelet-based denoising. For this, a multispectral extension of the linear minimum mean squared error estimation (LMMSE) is constructed to estimate the signal from the observed wavelet coefficients. The calculation involves the signal autocovariance matrices, which are estimated globally or locally for centered square windows using Maximum Likelihood and MAP. The method is demonstrated to outperform single-band denoising on color and 7-band Landsat multispectral images.
Paul Scheunders, Jef Driesen
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2004
Where ICIP
Authors Paul Scheunders, Jef Driesen
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