Lossy dictionary-based image compression method

Authors:
Gabriela Dudek;Przemysław Borys;Zbigniew J. Grzywna
Affiliations:
Section of Physics and Applied Mathematics, Department of Physical Chemistry and Technology of Polymers, Faculty of Chemistry, Silesian University of Technology, Ks. M. Strzody 9, 44-100 Gliwice, ...;Section of Physics and Applied Mathematics, Department of Physical Chemistry and Technology of Polymers, Faculty of Chemistry, Silesian University of Technology, Ks. M. Strzody 9, 44-100 Gliwice, ...;Section of Physics and Applied Mathematics, Department of Physical Chemistry and Technology of Polymers, Faculty of Chemistry, Silesian University of Technology, Ks. M. Strzody 9, 44-100 Gliwice, ...
Venue:
Image and Vision Computing
Year:
2007

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Abstract

In this paper, we report on the new method of image compression. The method is based on LZ77 dictionary algorithm. We introduce two modifications such as quantization and noise levels. Experimental results presented in this paper prove that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm and JPEG2000.