DocumentCode :
3648896
Title :
EEDC image compression using Burrows-Wheeler data modeling
Author :
Časlav Livada;Irena Galić;Branka Zovko-Cihlar
Author_Institution :
Faculty of Electrical Engineering in Osijek, Kneza Trpimira 2B Osijek, Croatia
fYear :
2012
Firstpage :
1
Lastpage :
5
Abstract :
This article analyses possibilities of preparing input image data to achieve high compression ratio by using edge enhancing diffusion image compression (EEDC). In this process without data transformation high compression ratio cannot be achieved with entropy coder (range coding in this case). Input data analysis and preparation for entropy coding can reduce the number of bits needed for the compressed images. Through Burrows-Wheeler image data modeling process the important space in sequence of bits is saved, i.e. the space in which we can add more data for better image interpolation.
Keywords :
"Image coding","Transform coding","Interpolation","Context","Binary trees","Encoding","PSNR"
Publisher :
ieee
Conference_Titel :
ELMAR, 2012 Proceedings
ISSN :
1334-2630
Print_ISBN :
978-1-4673-1243-1
Type :
conf
Filename :
6338459
Link To Document :
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