SURE-LET multichannel image denoising: undecimated wavelet thresholding

We propose an extension of the recently devised SURE-LET grayscale denoising approach for multichannel images. Assuming additive Gaussian white noise, the unknown linear parameters of a transform-domain/wwfwwe multichannel thresholding are globally optimized by minimizing Stein's unbiased MSE e...

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Bibliographic Details
Main Authors: Luisier, F., Blu, T.
Format: Conference Proceeding
Language:English
Subjects:
Additive noise
Additive white noise
Biomedical imaging
Color
Gray-scale
Image denoising
Multichannel image denoising
multichannel SURE minimization
multichannel wavelet thresholding
Noise reduction
PSNR
Wavelet transforms
White noise
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Description
Summary:We propose an extension of the recently devised SURE-LET grayscale denoising approach for multichannel images. Assuming additive Gaussian white noise, the unknown linear parameters of a transform-domain/wwfwwe multichannel thresholding are globally optimized by minimizing Stein's unbiased MSE estimate (SURE) in the image-domain. Using the undecimated wavelet transform, we demonstrate the efficiency of this approach for denoising color images by comparing our results with two other state-of-the-art denoising algorithms.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2008.4517723