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Valery A. Zheludev

dblp:97/6394 · DBLP profile ↗
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7ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-4606-2114ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 6 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 1

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 coding · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › image compression
wavelet-based image coding		 0.012004
A new family of spline-based biorthogonal wavelet transforms and their application to image compression · IEEE Trans. Image Process. 2004

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

spline-based wavelet transforms · 0.0lifting scheme · 0.0
YearPublicationVenuePosition
2021 Image inpainting using directional wavelet packets originating from polynomial splines
Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev, Moshe Salhov, Jonathan Hauser
 Signal Process. Image Commun.3
2012 Dimensionality reduction for detection of moving vehicles
Amir Averbuch, Neta Rabin, Alon Schclar, Valery A. Zheludev
 Pattern Anal. Appl.4
2009 Spline-based deconvolution
Amir Averbuch, Valery A. Zheludev
 Signal Process.2
2006 Tight and sibling frames originated from discrete splines
Amir Averbuch, Valery A. Zheludev, Tamir Cohen
 Signal Process.2
2004 A new family of spline-based biorthogonal wavelet transforms and their application to image compression
abstract
In this paper. we design a new family of biorthogonal wavelet transforms and describe their applications to still image compression. The wavelet transforms are constructed from various types of interpolatory and quasiinterpolatory splines. The transforms use finite impulse response and infinite impulse response filters that are implemented in a fast lifting mode.
Amir Averbuch, Valery A. Zheludev
 IEEE Trans. Image Process.2
2001 Biorthogonal Butterworth wavelets
abstract
We present a new family of biorthogonal wavelet transforms and a related library of biorthogonal symmetric wavelets. For the construction we use the interpolatory discrete splines which enable us to design perfect reconstruction filter banks related to the Butterworth filters. The construction is performed in a "lifting" manner. The proposed scheme is based on interpolation and, as such, it involves only samples of signals and it does not require any use of quadrature formulas. These filters have linear phase property. The filters yield perfect frequency resolution.
Valery A. Zheludev, Amir Averbuch, Alexander B. Pevnyi
 ICASSP1
2001 Butterworth wavelet transforms derived from discrete interpolatory splines: recursive implementation
Amir Averbuch, Alexander B. Pevnyi, Valery A. Zheludev
 Signal Process.3