Pregled bibliografske jedinice broj: 831844
Image compression with B-tree coding algorithm enhanced by data modelling with Burrows-Wheeler transformation
Image compression with B-tree coding algorithm enhanced by data modelling with Burrows-Wheeler transformation // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 57 (2016), 1; 76-88 doi:10.7305/automatika.2016.07.282 (međunarodna recenzija, članak, znanstveni)
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Naslov
Image compression with B-tree coding algorithm enhanced by data modelling with Burrows-Wheeler transformation
Autori
Galić, Irena ; Livada, Časlav ; Zovko-Cihlar, Branka
Izvornik
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije (0005-1144) 57
(2016), 1;
76-88
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
data coder ; image compression ; EEDC
Sažetak
The paper shows that the partial differential based compression framework, Edge Enhancing Diffusion Compression (EEDC) on high compression ratios can come close to or even be better than present compression standard – JPEG2000 thus presenting a novel method for image compression. In this paper EEDC will be enhanced by changing its data coding, i.e. Huffman coding will be changed with an entropy coder accompanied with Burrows-Wheeler transformation and context mixing. Images, graphs and tables show image compression results. The purpose of this article is to examine the effectiveness of the PDEs in image compression and to evaluate it by comparing to cosine and wavelet transform based compression methods
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
