Comparative analysis of image compression techniques

Author

Jackson, David Jeff ; Hannah, Sidney Joel

Author_Institution

Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL, USA

fYear

1993

fDate

7-9 Mar 1993

Firstpage

513

Lastpage

517

Abstract

Data compression as it is applicable to image processing is addressed. The relative effectiveness of several image compression strategies is analyzed. This study covers data compression algorithms, file format schemes, and fractal image compression. An overview of the popular LZW compression algorithm and its subsequent variations is also given. Several common image file formats are surveyed, highlighting the differing approaches to image compression. Fractal compression is examined in depth to reveal how an interactive approach to image compression is implemented. The performance of these techniques is compared for a variety of landscape images, considering such parameters as data reduction ratios and information loss

Keywords

data compression; file organisation; fractals; image coding; interactive systems; LZW compression algorithm; data compression algorithms; data reduction ratios; fractal image compression; image compression techniques; image file formats; information loss; interactive approach; landscape images; performance; relative effectiveness; Compression algorithms; Data compression; Dictionaries; Fractals; Image analysis; Image coding; Image color analysis; Image processing; Performance loss; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on

Conference_Location

Tuscaloosa, AL

ISSN

0094-2898

Print_ISBN

0-8186-3560-6

Type

conf

DOI

10.1109/SSST.1993.522833

Filename

522833