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Norbert Reményi

dblp:149/5778 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › wavelet transform
complex wavelet transform		 0.212014
Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms · IEEE Trans. Image Process. 2014
Image and video processing › image restoration
image denoising		 0.212014
Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms · IEEE Trans. Image Process. 2014
Image and video processing › image restoration › image denoising
wavelet-based denoising		 0.212014
Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms · IEEE Trans. Image Process. 2014
Image and video processing
wavelet transform		 0.212014
Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms · IEEE Trans. Image Process. 2014

Methods — techniques the papers use, named apart from their topics

empirical bayesian estimation · 0.2
YearPublicationVenuePosition
2014 Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms
abstract
This paper introduces an image denoising procedure based on a 2D scale-mixing complex-valued wavelet transform. Both the minimal (unitary) and redundant (maximum overlap) versions of the transform are used. The covariance structure of white noise in wavelet domain is established. Estimation is performed via empirical Bayesian techniques, including versions that preserve the phase of the complex-valued wavelet coefficients and those that do not. The new procedure exhibits excellent quantitative and visual performance, which is demonstrated by simulation on standard test images.
Norbert Reményi, Orietta Nicolis, Guy P. Nason, Brani Vidakovic
 IEEE Trans. Image Process.1