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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Noise Influence in Fzt+Jpeg Image Compression
Citace	Perfiljeva, I. a Hurtík, P. Noise Influence in Fzt+Jpeg Image Compression. In: FLINS 2018: Data Science and Knowledge Engineering for Sensing Decision Support 2018-08-21 Belfast. New Jersey: World Scientific, 2018. s. 1433-1439. ISBN 978-981-3273-22-1.

Subtitle
Publication year:	2018
Obor:	Obecná matematika
Number of pages:	7
Page from:	1433
Page to:	1439
Form of publication:	Tištená verze
ISBN code:	978-981-3273-22-1
ISSN code:
Proceedings title:	Data Science and Knowledge Engineering for Sensing Decision Support
Proceedings:	Mezinárodní
Publisher name:	World Scientific
Place of publishing:	New Jersey
Country of Publication:	Sborník vydaný v zahraničí
Název konference:	FLINS 2018
Místo konání konference:	Belfast
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:
EID:

Key words in English:	Fuzzy Transform; Image Compression; JPEG; Noise Filtering
Annotation in original language:	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.
Annotation in english language:

References

Reference

R01:	RIV/61988987:17610/18:A1901V6R

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