Title :
Comparative analysis of image compression techniques
Author :
Jackson, David Jeff ; Hannah, Sidney Joel
Author_Institution :
Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL, USA
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;
Conference_Titel :
System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on
Conference_Location :
Tuscaloosa, AL
Print_ISBN :
0-8186-3560-6
DOI :
10.1109/SSST.1993.522833
