Lossy Compression in the Chroma Subsampling Process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875145" target="_blank" >RIV/70883521:28140/16:43875145 - isvavai.cz</a>

Výsledek na webu

<a href="http://wseas.org/wseas/cms.action?id=4026" target="_blank" >http://wseas.org/wseas/cms.action?id=4026</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Lossy Compression in the Chroma Subsampling Process

Popis výsledku v původním jazyce

Nowadays, compression algorithms are frequently used in the computer software field. The reason is the large amounts of data that is processed by applications. These compression algorithms, in different forms, are deployed in many raster image processing cases. The reasons for this are the quite high compression ratios and also, the usually high compression/decompression speed (the success of these two major parameters of the compression algorithms depends on the image information content). In addition, the images can often allow one to use lossy compression algorithms which cause a substantially greater reduction of the image data size. The JPEG graphic format is the most widely used. Here, the loss rate is determined in two ways by the subsampling color components and the quantization of the coefficients that are obtained by the Discrete Cosine Transform calculation. In this paper, attention is focused on the subsampling process of the color components. The content compares the most frequently used sampling techniques - mainly to the quality and size of the processed image.

Název v anglickém jazyce

Lossy Compression in the Chroma Subsampling Process

Popis výsledku anglicky

Nowadays, compression algorithms are frequently used in the computer software field. The reason is the large amounts of data that is processed by applications. These compression algorithms, in different forms, are deployed in many raster image processing cases. The reasons for this are the quite high compression ratios and also, the usually high compression/decompression speed (the success of these two major parameters of the compression algorithms depends on the image information content). In addition, the images can often allow one to use lossy compression algorithms which cause a substantially greater reduction of the image data size. The JPEG graphic format is the most widely used. Here, the loss rate is determined in two ways by the subsampling color components and the quantization of the coefficients that are obtained by the Discrete Cosine Transform calculation. In this paper, attention is focused on the subsampling process of the color components. The content compares the most frequently used sampling techniques - mainly to the quality and size of the processed image.

Druh

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

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

WSEAS Transactions on Computers

ISSN

1109-2750

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GR - Řecká republika

Počet stran výsledku

7

Strana od-do

76-82

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—