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ICASSP
2009
IEEE
15 years 4 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
TIP
2010
124views more  TIP 2010»
14 years 8 months ago
Block-Based Image Compression With Parameter-Assistant Inpainting
Abstract—This correspondence presents an image compression approach that integrates our proposed parameter-assistant inpainting (PAI) to exploit visual redundancy in color images...
Zhiwei Xiong, Xiaoyan Sun, Feng Wu
ICIP
2008
IEEE
15 years 4 months ago
Model-based compression of nonstationary landmark shape sequences
We have proposed a novel model-based compression technique for nonstationary landmark shape data extracted from video sequences. The main goal is to develop a technique for the co...
Samarjit Das, Namrata Vaswani
ADT
2005
14 years 10 months ago
High rate compression of CAD meshes based on subdivision inversion
In this paper we present a new framework, based on subdivision surface approximation, for efficient compression and coding of 3D models represented by polygonal meshes. Our algorit...
Guillaume Lavoué, Florent Dupont, Atilla Ba...
TASLP
2008
136views more  TASLP 2008»
14 years 10 months ago
Distortion Estimation in Compressed Music Using Only Audio Fingerprints
Abstract--An audio fingerprint is a compact yet very robust representation of the perceptually relevant parts of an audio signal. It can be used for content-based audio identificat...
Peter Jan O. Doets, Reginald L. Lagendijk