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TSP
2010
13 years 2 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
ICASSP
2008
IEEE
14 years 2 months ago
Remeshing and spatio-temporal wavelet filtering for 3D animations
In this paper, we present a new framework to analyse and process 3D animations (defined by sequences of triangular meshes sharing the same connectivity at any frame). Our idea is...
Frédéric Payan, Aymen Kammoun, Marc ...
ICIP
1998
IEEE
14 years 9 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 6 months ago
A Block Based Scheme for Enhancing Low Luminated Images
In this paper the background detection in images in poor lighting can be done by the use of morphological filters. Lately contrast image enhancement technique is used to detect th...
A. Saradha Devi, S. Suja Priyadharsini, S. Athinar...
ICMCS
2005
IEEE
124views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Efficient conversion method between subband domain representations
This paper presents an efficient method for the conversion between subband domain representations of different filter banks. It advantageously replaces the conventional cascade of...
Abdellatif Benjelloun Touimi, Adil Mouhssine