Nonlocal operators with applications to image processing
We propose the use of nonlocal operators to define new types of flows and functionals for
image processing and elsewhere. A main advantage over classical PDE-based algorithms …
image processing and elsewhere. A main advantage over classical PDE-based algorithms …
Patch-based nonlocal functional for denoising fluorescence microscopy image sequences
We present a nonparametric regression method for denoising 3-D image sequences
acquired via fluorescence microscopy. The proposed method exploits the redundancy of the …
acquired via fluorescence microscopy. The proposed method exploits the redundancy of the …
Feature-preserving MRI denoising: a nonparametric empirical Bayes approach
This paper presents a novel method for Bayesian denoising of magnetic resonance (MR)
images that bootstraps itself by inferring the prior, ie, the uncorrupted-image statistics, from …
images that bootstraps itself by inferring the prior, ie, the uncorrupted-image statistics, from …
Space-time adaptation for patch-based image sequence restoration
We present a novel space-time patch-based method for image sequence restoration. We
propose an adaptive statistical estimation framework based on the local analysis of the bias …
propose an adaptive statistical estimation framework based on the local analysis of the bias …
[PDF][PDF] Image denoising algorithms: from wavelet shrinkage to nonlocal collaborative filtering
A Pižurica - Wiley Encyclopedia of Electrical and Electronics …, 2017 - telin.ugent.be
This paper presents an overview of image denoising algorithms ranging from wavelet
shrinkage to patchbased non-local processing. The focus is on the suppression of additive …
shrinkage to patchbased non-local processing. The focus is on the suppression of additive …
The iDUDE framework for grayscale image denoising
We present an extension of the discrete universal denoiser DUDE, specialized for the
denoising of grayscale images. The original DUDE is a low-complexity algorithm aimed at …
denoising of grayscale images. The original DUDE is a low-complexity algorithm aimed at …
Universal algorithms for channel decoding of uncompressed sources
In many applications, an uncompressed source stream is systematically encoded by a
channel code (which ignores the source redundancy) for transmission over a discrete …
channel code (which ignores the source redundancy) for transmission over a discrete …
Non-parametric regression for patch-based fluorescence microscopy image sequence denoising
We present a non-parametric regression method for denoising fluorescence video-
microscopy volume sequences. The designed method aims at using the 3D+ t information in …
microscopy volume sequences. The designed method aims at using the 3D+ t information in …
On universal types
G Seroussi - IEEE transactions on information theory, 2005 - ieeexplore.ieee.org
The universal type class of a sequence xn is defined, in analogy to the notion underlying the
classical method of types. Two sequences of the same length are said to be of the same …
classical method of types. Two sequences of the same length are said to be of the same …
A context quantization approach to universal denoising
K Sivaramakrishnan… - IEEE transactions on signal …, 2008 - ieeexplore.ieee.org
We revisit the problem of denoising a discrete-time, continuous-amplitude signal corrupted
by a known memoryless channel. By modifying our earlier approach to the problem, we …
by a known memoryless channel. By modifying our earlier approach to the problem, we …