Efficient JPEG decompression by the alternating direction method of multipliers

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00474520" target="_blank" >RIV/67985556:_____/16:00474520 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/ICPR.2016.7899645" target="_blank" >http://dx.doi.org/10.1109/ICPR.2016.7899645</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICPR.2016.7899645" target="_blank" >10.1109/ICPR.2016.7899645</a>

Result language

angličtina

Original language name

Efficient JPEG decompression by the alternating direction method of multipliers

Original language description

Standard decompression of JPEG images produces artifacts along edges and a disturbing checkerboard pattern. To reduce these artifacts, decompression can be formulated as an image reconstruction problem within Bayesian maximum a posteriori probability framework. In this type of problem, the prior information about an image is typically given by the l1 norm of its sparse domain representation. In this paper, we show how the solution of this problem can be achieved very efficiently using the alternating direction method of multipliers if the sparsity domain forms a tight frame. The proposed algorithm restores images without disturbing JPEG artifacts in severalniterations, typically considerably less than competing algorithms. The quality of reconstruction both visually and in terms of SNR primarily depends on the tight frame used.n

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA16-13830S" target="_blank" >GA16-13830S: Magnetic resonance perfusion imaging using compressed sensing</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 23rd International Conference on Pattern Recognition (ICPR)

ISBN

978-1-5090-4846-5

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

271-276

Publisher name

IEEE

Place of publication

Piscataway

Event location

Cancún

Event date

Dec 4, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000406771300048