Noise Influence in Fzt+Jpeg Image Compression

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901V6R" target="_blank" >RIV/61988987:17610/18:A1901V6R - 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
Noise Influence in Fzt+Jpeg Image Compression
Original language description
Based on our recent research, where we the designed hybrid image compression algorithm combining F-transform and JPEG called FzT+JPEG, we now analyze the influence of noise on image compression. Our analysis is focused on the impact of a noise to a size of a compressed image and on the ability to decompress an image without noise by both FzT+JPEG and JPEG algorithms. On some benchmarks, we show that FzT+JPEG algorithm rapidly outperforms the pure JPEG in both aspects.
Czech name
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Czech description
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Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Data Science and Knowledge Engineering for Sensing Decision Support
ISBN
978-981-3273-22-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1433-1439
Publisher name
World Scientific
Place of publication
New Jersey
Event location
Belfast
Event date
Aug 21, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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