Concept

Algorithme de compression sans perte

Publications associées (483)

Lossy source coding via spatially coupled LDGM ensembles

Rüdiger Urbanke, Nicolas Macris, Vahid Aref, Marc Vuffray

We study a new encoding scheme for lossy source compression based on spatially coupled low-density generatormatrix codes. We develop a belief-propagation guided-decimation algorithm, and show that this algorithm allows to approach the optimal distortion of ...

Ieee2012

Subjective quality evaluation of the upcoming HEVC video compression standard

Touradj Ebrahimi, Francesca De Simone, Philippe Hanhart, Martin Rerabek

High Efficiency Video Coding (HEVC) is the latest attempt by ISO/MPEG and ITU-T/VCEG to define the next generation compression standard beyond H.264/MPEG-4 Part 10 AVC. One of the major goals of HEVC is to provide efficient compression for resolutions beyo ...

2012

Rate Distortion Behavior of Sparse Sources

Martin Vetterli

The rate distortion behavior of sparse memoryless sources is studied. These serve as models of sparse signal representations and facilitate the performance analysis of "sparsifying" transforms like the wavelet transform and nonlinear approximation schemes. ...

Institute of Electrical and Electronics Engineers2012

Distributed Compressed Representation of Correlated Image Sets

Vijayaraghavan Thirumalai

Vision sensor networks and video cameras find widespread usage in several applications that rely on effective representation of scenes or analysis of 3D information. These systems usually acquire multiple images of the same 3D scene from different viewpoin ...

EPFL2012

Sparse Approximation Using M-Term Pursuit and Application in Image and Video Coding

Pascal Frossard, Pierre Vandergheynst, Adel Rahmoune

This paper introduces a novel algorithm for sparse approximation in redundant dictionaries called the M-term pursuit (MTP). This algorithm decomposes a signal into a linear combination of atoms that are selected in order to represent the main signal compon ...

Institute of Electrical and Electronics Engineers2012

Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks

Michael Christoph Gastpar, Naveen Goela

A model called the linear transform network (LTN) is proposed to analyze the compression and estimation of correlated signals transmitted over directed acyclic graphs (DAGs). An LTN is a DAG network with multiple source and receiver nodes. Source nodes tra ...

Institute of Electrical and Electronics Engineers2012

A JPEG backward-compatible HDR image compression

Touradj Ebrahimi

High Dynamic Range (HDR) imaging is expected to become one of the technologies that could shape next generation of consumer digital photography. Manufacturers are rolling out cameras and displays capable of capturing and rendering HDR images. The popularit ...

Spie-Int Soc Optical Engineering2012

Selected Contributions on Multimedia Quality Evaluation

Francesca De Simone

Multimedia signals, such as digital images and video sequences, are captured, processed and finally presented to human observers who directly or indirectly judge their quality. During the data acquisition, as well as the many steps of the processing chain, ...

EPFL2012

A MATLAB-based tool for visualizing the plane wave propagation in multilayer structures containing metamaterials

Juan Ramon Mosig

The paper reports on a graphical user interface developed in MATLAB to aid the visualization of the plane wave impinging from a lossless half-space onto a multilayer structure. Individual layers are assumed to be homogeneous and isotropic with electric per ...

2012

Mechanism-Based Approach for the Deployment of a Tensegrity-Ring Module

Ian Smith, Landolf-Giosef-Anastasios Rhode-Barbarigos, Nizar Bel Hadj Ali, Costanza Schulin, René Motro

Tensegrity structures are spatial systems composed of tension and compression components in a self-equilibrated prestress stable state. Although the concept is over 60 years old, few tensegrity-based structures have been used for engineering purposes. Tens ...

2012

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