A hybrid image compression algorithm based on JPEG and Fuzzy transform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801N2G" target="_blank" >RIV/61988987:17610/17:A1801N2G - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015614" target="_blank" >http://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015614</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015614" target="_blank" >10.1109/FUZZ-IEEE.2017.8015614</a>
Alternative languages
Result language
angličtina
Original language name
A hybrid image compression algorithm based on JPEG and Fuzzy transform
Original language description
We propose a new hybrid image compression algorithm which combines the F-transform and the JPEG. At first, we apply the direct F-transform and then, the JPEG compression. Conversely, the JPEG decompression is followed by the inverse F-transform to obtain the decompressed image. This scheme brings three benefits: (i) the direct F-transform filters out high frequencies so that the JPEG can reach a higher compression ratio; (ii) the JPEG color quantization can be omitted in order to achieve greater decompressed image quality; (iii) the JPEG-decompressed image is processed by by the inverse F-transform w.r.t. the adjoint partition almost lossless. The paper justifies the proposed hybrid algorithm by benchmarks which show that the hybrid algorithm achieves significantly higher decompressed image quality than the JPEG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
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
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on
ISBN
978-1-5090-6035-1
ISSN
1558-4739
e-ISSN
—
Number of pages
6
Pages from-to
1-1
Publisher name
IEEE
Place of publication
Naples, Italy
Event location
Naples
Event date
Jul 9, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426449100231