Publications related to Oligoquantization in low-rate lossy source coding

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Two-Dimensional Discrete Wavelet Transform on Large Images for Hybrid Computing Architectures: GPU and CELL

Pawel Lichocki

The Discrete Wavelet Transform (DWT) has gained the momentum in signal processing and image compression over the last decade bringing the concept up to the level of new image coding standard JPEG2000. Thanks to many added values in DWT, in particular inher ...

Springer Berlin Heidelberg2012

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

Perceptual Video Compression: A Survey

Touradj Ebrahimi, Jong Seok Lee

With the advances in understanding perceptual properties of the human visual system and constructing their computational models, efforts toward incorporating human perceptual mechanisms in video compression to achieve maximal perceptual quality have receiv ...

Ieee-Inst Electrical Electronics Engineers Inc2012

Progressive quantization in distributed average consensus

Pascal Frossard, Effrosyni Kokiopoulou

We consider the problem of distributed average consensus in a sensor network where sensors exchange quantized information with their neighbors. In particular, we exploit the increasing correlation between the exchanged values throughout the iterations of t ...

2012

One-Bit Measurements With Adaptive Thresholds

Michaël Unser, Arash Amini, Ulugbek Kamilov, Aurélien Bourquard

We introduce a new method for adaptive one-bit quantization of linearmeasurements and propose an algorithm for the recovery of signals based on generalized approximate message passing (GAMP). Our method exploits the prior statistical information on the sig ...

Ieee-Inst Electrical Electronics Engineers Inc2012

Progressive quantization in distributed average consensus

Pascal Frossard, Effrosyni Kokiopoulou

2011

On Source Coding for Distributed Temperature Sensing with Shift-Invariant Geometries

Robert Konsbruck

We study the source coding problem in sensor networks deployed to monitor the evolution of spatio-temporal temperature distributions. The sensors sample the temperature field, quantize the samples and transmit the encoded samples through digital channels t ...

Institute of Electrical and Electronics Engineers2011

Oligoquantization in low-rate lossy source coding

Graph Chatbot

Chat with Graph Search

Distributed Compressed Representation of Correlated Image Sets

Lossy source coding via spatially coupled LDGM ensembles

Two-Dimensional Discrete Wavelet Transform on Large Images for Hybrid Computing Architectures: GPU and CELL

Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks

Perceptual Video Compression: A Survey

Progressive quantization in distributed average consensus

One-Bit Measurements With Adaptive Thresholds

Progressive quantization in distributed average consensus

On Source Coding for Distributed Temperature Sensing with Shift-Invariant Geometries

Sensing and Recovery under Sparsity Constraints

Two-Dimensional Discrete Wavelet Transform on Large Images for Hybrid Computing Architectures: GPU and CELL

Distributed Compressed Representation of Correlated Image Sets

Sensing and Recovery under Sparsity Constraints

On Source Coding for Distributed Temperature Sensing with Shift-Invariant Geometries

Progressive quantization in distributed average consensus

Progressive quantization in distributed average consensus

Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks

Perceptual Video Compression: A Survey

Lossy source coding via spatially coupled LDGM ensembles

One-Bit Measurements With Adaptive Thresholds