DocumentCode
3254024
Title
The use of fractal theory in a video compression system
Author
Ali, Maaruf ; Papadopoulos, Costas ; Clarkson, Trevor
Author_Institution
Dept. of Electron. & Electron. Eng., King´´s Coll. London, UK
fYear
1992
fDate
24-27 March 1992
Firstpage
259
Lastpage
268
Abstract
The paper describes how fractal coding theory may be applied to compress video images using an image resampling sequencer (IRS) in a video compression system on a modular image processing system. It describes the background theory of image (image) coding using a form of fractal equation known as iterated function system (IFS) codes. The second part deals with the modular image processing system on which to implement these operations. It briefly covers how IFS codes may be calculated. It is shown how the IRS and 2/sup nd/ order geometric transformations may be used to describe inter-frame changes to compress motion video.<>
Keywords
data compression; fractals; image coding; video signals; fractal coding theory; fractal equation; image coding; image resampling sequencer; iterated function system; second order geometric transformations; video compression system; video images compression; Fractals; Geometry; Image coding; Inverse problems; Libraries; Nonlinear equations; Shape; Simulated annealing; Solid modeling; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1992. DCC '92.
Conference_Location
Snowbird, UT, USA
Print_ISBN
0-8186-2717-4
Type
conf
DOI
10.1109/DCC.1992.227455
Filename
227455
Link To Document