Impact of GDAL JPEG 2000 lossy compression to a digital elevation model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F15%3A86094974" target="_blank" >RIV/61989100:27350/15:86094974 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-18407-4_17" target="_blank" >http://dx.doi.org/10.1007/978-3-319-18407-4_17</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-18407-4_17" target="_blank" >10.1007/978-3-319-18407-4_17</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Impact of GDAL JPEG 2000 lossy compression to a digital elevation model

Popis výsledku v původním jazyce

Mobile platforms bring possibilities to use distributed services in several users' environments. One of the conditions of the mobile platform is to transfer as less as possible amount of data via network. When dealing with geodata in mobile environment it is always necessary to use compression algorithms to lower their size. Digital elevation models in a GRID form are usually compressed with LZW or DCT technique, but the best compression ratio is now available with wavelet algorithms. The compression can be loss or loss less. The paper describes results of tests of JPEG 2000 loss compression technique. We studied impact of JPEG 2000 loss compression on quality of DEM. We have tested several options of OpenJPEG library to find how these options can change resulting compressed DEM. The main part of the research was focused on pre-filtering of DEM before compression. We have find out a way how to minimise average error of loss compression when keeping the same compression ratio. (C) Sprin

Název v anglickém jazyce

Impact of GDAL JPEG 2000 lossy compression to a digital elevation model

Popis výsledku anglicky

Mobile platforms bring possibilities to use distributed services in several users' environments. One of the conditions of the mobile platform is to transfer as less as possible amount of data via network. When dealing with geodata in mobile environment it is always necessary to use compression algorithms to lower their size. Digital elevation models in a GRID form are usually compressed with LZW or DCT technique, but the best compression ratio is now available with wavelet algorithms. The compression can be loss or loss less. The paper describes results of tests of JPEG 2000 loss compression technique. We studied impact of JPEG 2000 loss compression on quality of DEM. We have tested several options of OpenJPEG library to find how these options can change resulting compressed DEM. The main part of the research was focused on pre-filtering of DEM before compression. We have find out a way how to minimise average error of loss compression when keeping the same compression ratio. (C) Sprin

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Geoinformation and Cartography. Volume 211

ISBN

978-3-319-18406-7

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

205-214

Název nakladatele

Kluwer Academic Publishers

Místo vydání

Dordrecht

Místo konání akce

Ostrava

Datum konání akce

26. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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