SURE-Let Multichannel Image Denoising: Undecimated Wavelet Thresholding
F. Luisier, T. Blu
Proceedings of the Thirty-Third IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'08), Las Vegas NV, USA, March 30-April 4, 2008, pp. 769–772.
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 pointwise 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.
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AUTHOR="Luisier, F. and Blu, T.",
TITLE="{SURE}-Let Multichannel Image Denoising: {U}ndecimated Wavelet
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BOOKTITLE="Proceedings of the Thirty-Third {IEEE} International
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pages="769--772",
address="Las Vegas NV, USA",
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