Using Chroma Subsampling in Lossy Compression

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873778" target="_blank" >RIV/70883521:28140/15:43873778 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using Chroma Subsampling in Lossy Compression
Original language description
Nowadays, compression of raster image is frequently used. 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 of the color components. A comparison of the effects of the most frequently used sampling techniques to the quality and size of the processed image is then performed.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The International Conference on Applied Mathematics, Computional Science & Engineering
ISBN
978-1-61804-350-4
ISSN
2227-4588
e-ISSN
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Number of pages
4
Pages from-to
134-137
Publisher name
NAUN North Atlantic University Union
Place of publication
Agios Niklaos
Event location
Agios Niklaos
Event date
Oct 17, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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