Title
SURE-LET for Orthonormal Wavelet-Domain Video Denoising
Abstract
We propose an efficient orthonormal wavelet-domain video denoising algorithm based on an appropriate integration of motion compensation into an adapted version of our recently devised Stein's unbiased risk estimator-linear expansion of thresholds (SURE-LET) approach. To take full advantage of the strong spatio-temporal correlations of neighboring frames, a global motion compensation followed by a selective block-matching is first applied to adjacent frames, which increases their temporal correlations without distorting the interframe noise statistics. Then, a multiframe interscale wavelet thresholding is performed to denoise the current central frame. The simulations we made on standard grayscale video sequences for various noise levels demonstrate the efficiency of the proposed solution in reducing additive white Gaussian noise. Obtained at a lighter computational load, our results are even competitive with most state-of-the-art redundant wavelet-based techniques. By using a cycle-spinning strategy, our algorithm is in fact able to outperform these methods.
Year
DOI
Venue
2010
10.1109/TCSVT.2010.2045819
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
AWGN,image denoising,image matching,image sequences,motion compensation,wavelet transforms,Stein unbiased risk estimator,additive white Gaussian noise,cycle-spinning strategy,grayscale video sequences,interframe noise statistics,linear expansion of threshold approach,motion compensation,multiframe interscale wavelet thresholding,orthonormal wavelet domain video denoising algorithm,redundant wavelet-based techniques,selective block matching,spatio-temporal correlations,temporal correlations,Block-matching,Stein's unbiased risk estimator-linear expansion of thresholds (SURE-LET),video denoising,wavelet
Computer vision,Pattern recognition,Computer science,Global motion compensation,Motion compensation,Artificial intelligence,Inter frame,Motion estimation,Video denoising,Additive white Gaussian noise,Wavelet,Wavelet transform
Journal
Volume
Issue
ISSN
20
6
1051-8215
Citations 
PageRank 
References 
14
0.65
16
Authors
3
Name
Order
Citations
PageRank
F. Luisier144722.09
T Blu22574259.70
Unser, M.33438442.40