Title :
ω-orbit finite automata for data compression
Author :
Liu, Ying ; Ma, Hede
Author_Institution :
Sch. of Sci. & Technol., Savannah State Coll., GA, USA
Abstract :
ω-orbit finite automata (ω-OFA) are introduced to develop more efficient and powerful data compression techniques. Barnsley´s iterated function systems (IFS) define an image as an attractor. Regulator set plotters (RSP) interpret a regular language as an image. These two techniques can be unified into one more powerful system. ω-OFA are more powerful than RSP and IFS in image generation and the efficiency of data compression for ω-OFA is equally good. The authors prove that the class of images defined by IFS and that defined by RSP partially overlap and the union of these is a proper subset of the class defined by ω-OFA
Keywords :
data compression; finite automata; picture processing; data compression techniques; efficiency; image generation; iterated function systems; omega-orbit finite automata; regular set plotters; Application software; Automata; Containers; Data compression; Extraterrestrial measurements; Image coding; Image generation; Information retrieval; Pixel;
Conference_Titel :
Data Compression Conference, 1991. DCC '91.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-9202-2
DOI :
10.1109/DCC.1991.213384