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
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;
Conference_Titel :
Data Compression Conference, 1992. DCC '92.
Conference_Location :
Snowbird, UT, USA
Print_ISBN :
0-8186-2717-4
DOI :
10.1109/DCC.1992.227455
