Astronomical Context Coder for Image Compression

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00229740" target="_blank" >RIV/68407700:21230/15:00229740 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s10686-015-9460-3" target="_blank" >http://dx.doi.org/10.1007/s10686-015-9460-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10686-015-9460-3" target="_blank" >10.1007/s10686-015-9460-3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Astronomical Context Coder for Image Compression

Popis výsledku v původním jazyce

Recent lossless still image compression formats are powerful tools for compression of all kind of common images (pictures, text, schemes, etc.). Generally, the performance of a compression algorithm depends on its ability to anticipate the image functionof the processed image. In other words, a compression algorithm to be successful, it has to take perfectly the advantage of coded image properties. Astronomical data form a special class of images and they have, among general image properties, also somespecific characteristics which are unique [1]. If a new coder is able to correctly use the knowledge of these special properties it should lead to its superior performance on this specific class of images at least in terms of the compression ratio. In this work, the novel lossless astronomical image data compression method will be presented. The achievable compression ratio of this new coder will be compared to theoretical lossless compression limit and also to the recent compression st

Název v anglickém jazyce

Astronomical Context Coder for Image Compression

Popis výsledku anglicky

Recent lossless still image compression formats are powerful tools for compression of all kind of common images (pictures, text, schemes, etc.). Generally, the performance of a compression algorithm depends on its ability to anticipate the image functionof the processed image. In other words, a compression algorithm to be successful, it has to take perfectly the advantage of coded image properties. Astronomical data form a special class of images and they have, among general image properties, also somespecific characteristics which are unique [1]. If a new coder is able to correctly use the knowledge of these special properties it should lead to its superior performance on this specific class of images at least in terms of the compression ratio. In this work, the novel lossless astronomical image data compression method will be presented. The achievable compression ratio of this new coder will be compared to theoretical lossless compression limit and also to the recent compression st

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA14-25251S" target="_blank" >GA14-25251S: Nelineární obrazové systémy s prostorově variantní bodovou rozptylovou funkcí</a><br>

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

EXPERIMENTAL ASTRONOMY

ISSN

0922-6435

e-ISSN

—

Svazek periodika

39

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

18

Strana od-do

495-512

Kód UT WoS článku

000363264700002

EID výsledku v databázi Scopus

2-s2.0-84945487041