Publications related to Very low bit rate image coding using redundant dictionaries

Towards learning-based image compression for storage on DNA support

The demand for data storage has grown exponentially over the past decades. Current archival solutions have significant shortcomings, such as high resource requirements and a lack of sufficient longevity. In contrast, research on DNA-based storage has been ...

2023

reference image data (primary views) for an office building near LAX

Stephen William Wasilewski

image data compressed by view and season (months 1-2-3, 4-5-6, 7-8-9, 10-11-12) see 10.5281/zenodo.6322418 for source files ...

Zenodo2022

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson

We investigate the benefits of known partial support for the recovery of joint-sparse signals and demonstrate that it is advantageous in terms of recovery performance for both rank-blind and rank-aware algorithms. We suggest extensions of several joint-spa ...

2019

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Volkan Cevher, Cosimo Aprile, Yusuf Leblebici, Luca Baldassarre

A power and area effcient hardware encoding system tailored for wireless implantable applications is presented. Constant medical monitoring allowed by implantable devices is the most relevant alternative to current bulky monitoring systems, which, in case ...

2018

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Volkan Cevher, Cosimo Aprile, Yusuf Leblebici, Luca Baldassarre

A power and area efficient hardware encoding system tailored for wireless implantable applications is presented. Constant medical monitoring allowed by implantable devices is the most relevant alternative to current bulky monitoring systems, which, in case ...

ASSOC COMPUTING MACHINERY2018

Fully Quantized Distributed Gradient Descent

n major distributed optimization system, the main bottleneck is often the communication between the different machines. To reduce the time dedicated to communications, some heuristics have been developed to reduce the precision of the messages sent and hav ...

2017

Approximation-aware Rewriting of AIGs for Error Tolerant Applications

Mathias Soeken, Arun Chandrasekharan

Approximation circuits offer superior performance (speed and area) compared to traditional circuits at the cost of computational accuracy. The accuracy of the results in approximation circuits is evaluated based on several error metrics such as worst-case ...

Assoc Computing Machinery2016

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

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

Compression with Graphical Constraints: An Interactive Browser

Amin Karbasi, Morteza Zadimoghaddam

We study the problem of navigating/searching through a database of objects with potentially different popularities using a membership oracle. The membership oracle, given a subset of objects

A

, and a target object

t

, determines whether

A

contains

t

...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Very low bit rate image coding using redundant dictionaries

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Chat with Graph Search

Towards learning-based image compression for storage on DNA support

reference image data (primary views) for an office building near LAX

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Fully Quantized Distributed Gradient Descent

Approximation-aware Rewriting of AIGs for Error Tolerant Applications

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

Distributed Compressed Representation of Correlated Image Sets

Compression with Graphical Constraints: An Interactive Browser

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Fully Quantized Distributed Gradient Descent

Approximation-aware Rewriting of AIGs for Error Tolerant Applications

Distributed Compressed Representation of Correlated Image Sets

Towards learning-based image compression for storage on DNA support

reference image data (primary views) for an office building near LAX

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

Compression with Graphical Constraints: An Interactive Browser