Title :
An asymmetric lossless image compression technique
Author :
Memon, Nasir ; Yood, Khalid Sa
Author_Institution :
Dept. of Comput. Sci., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
While there exist many asymmetric techniques for the lossy compression of image data, most techniques reported for lossless compression of image data have been symmetric. In this paper we present a new lossless compression technique that is well suited for asymmetric applications. It gives superior performance compared to other lossless compression techniques reported in the literature. Hence, it can also potentially be adapted for use in symmetric applications that require high compression ratios
Keywords :
data compression; error analysis; image coding; prediction theory; asymmetric lossless image compression; high compression ratio; prediction pattern; CD-ROMs; Computer science; Decoding; Distributed computing; Image coding; Microcomputers; Performance loss; Predictive models; Vector quantization; Workstations;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537589