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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.

AUTHOR="Luisier, F. and Blu, T.",
TITLE="{SURE}-Let Multichannel Image Denoising: {U}ndecimated Wavelet
BOOKTITLE="Proceedings of the Thirty-Third {IEEE} International
        Conference on Acoustics, Speech, and Signal Processing
address="Las Vegas NV, USA",
month="March 30-April 4,",

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