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» The Use of Residuals in Image Denoising
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ICIP
2008
IEEE
15 years 6 months ago
Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression
In this paper, we extend a (2-D) data-adaptive steering kernel regression framework for image processing to a (3-D) spatio-temporal framework for processing video. In particular, ...
Hiroyuki Takeda, Peter van Beek, Peyman Milanfar
ICIP
1995
IEEE
16 years 1 months ago
Vector restoration for video coding
We present a novel concept, vector restoration, for motion compensated predictive coding of video. Conventional predictive coders generate predictions of the input signal and enco...
J. S. McVeigh, S.-W. Wu, Mel W. Siegel, Angel G. J...
CVPR
2006
IEEE
16 years 1 months ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky
ICASSP
2007
IEEE
15 years 6 months ago
Morphological Diversity and Sparse Image Denoising
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubc...
AVSS
2005
IEEE
15 years 5 months ago
Denoising image sequences does not require motion estimation
State of the art movie restoration methods either estimate motion and filter out the trajectories, or compensate the motion by an optical flow estimate and then filter out the ...
Antoni Buades, Bartomeu Coll, Jean-Michel Morel